scores update

archive/page_old_scores.jsonl

@@ -8,35 +8,15 @@
 {"Models":"RzenEmbed-v1-7B","ViDoSeek-page-old":23.06,"MMLongBench-page-old":16.1}
 {"Models":"Taichu-UniRetriever-v1-2B","ViDoSeek-page-old":20.92,"MMLongBench-page-old":16.49}
 {"Models":"<a href=\"https:\/\/huggingface.co\/Haon-Chen\/e5-omni-7B\">e5-omni-7B<\/a>","ViDoSeek-page-old":23.11,"MMLongBench-page-old":15.78}
-{"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","ViDoSeek-page-old":23.24,"MMLongBench-page-old":16.19}
 {"Models":"WeMM-Embedding-2B","ViDoSeek-page-old":22.27,"MMLongBench-page-old":16.53}
 {"Models":"RzenEmbed-v1-2B","ViDoSeek-page-old":22.89,"MMLongBench-page-old":16.21}
 {"Models":"<a href=\"https:\/\/seed1-6-embedding.github.io\">seed-1.6-embedding<\/a>","ViDoSeek-page-old":22.8,"MMLongBench-page-old":15.57}
 {"Models":"<a href=\"https:\/\/huggingface.co\/Haon-Chen\/e5-omni-3B\">e5-omni-3B<\/a>","ViDoSeek-page-old":22.38,"MMLongBench-page-old":15.0}
 {"Models":"Crotchet-embedding-2B","ViDoSeek-page-old":78.36,"MMLongBench-page-old":51.39}
-{"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","ViDoSeek-page-old":21.62,"MMLongBench-page-old":15.82}
-{"Models":"<a href=\"https:\/\/huggingface.co\/vidore\/colpali-v1.3\">colpali-v1.3<\/a>","ViDoSeek-page-old":22.16,"MMLongBench-page-old":14.17}
 {"Models":"<a href=\"https:\/\/huggingface.co\/OpenSearch-AI\/Ops-MM-embedding-v1-7B\">Ops-MM-embedding-v1-7B<\/a>","ViDoSeek-page-old":22.47,"MMLongBench-page-old":15.89}
 {"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/UME-R1-7B\">UME-R1-7B<\/a>","ViDoSeek-page-old":21.28,"MMLongBench-page-old":12.32}
 {"Models":"<a href=\"https:\/\/huggingface.co\/OpenSearch-AI\/Ops-MM-embedding-v1-2B\">Ops-MM-embedding-v1-2B<\/a>","ViDoSeek-page-old":21.44,"MMLongBench-page-old":13.06}
-{"Models":"<a href=\"https:\/\/huggingface.co\/VLM2Vec\/VLM2Vec-V2.0\">VLM2Vec-V2.0-Qwen2VL-2B<\/a>","ViDoSeek-page-old":21.94,"MMLongBench-page-old":11.89}
 {"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-7B<\/a>","ViDoSeek-page-old":22.52,"MMLongBench-page-old":13.32}
 {"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/UME-R1-2B\">UME-R1-2B<\/a>","ViDoSeek-page-old":21.2,"MMLongBench-page-old":11.9}
 {"Models":"<a href=\"https:\/\/github.com\/GaryGuTC\/UniME-v2\">UniME-V2-LLaVA-OneVision-7B<\/a>","ViDoSeek-page-old":22.89,"MMLongBench-page-old":11.96}
 {"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-0.5B<\/a>","ViDoSeek-page-old":17.62,"MMLongBench-page-old":9.95}
-{"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret-Qwen2.5VL-7b\">LamRA-Ret-Qwen2.5VL-7b<\/a>","ViDoSeek-page-old":23.05,"MMLongBench-page-old":13.52}
-{"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-7B\">VLM2Vec-V1-Qwen2VL-7B<\/a>","ViDoSeek-page-old":22.28,"MMLongBench-page-old":11.82}
-{"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-2B\">VLM2Vec-V1-Qwen2VL-2B<\/a>","ViDoSeek-page-old":17.74,"MMLongBench-page-old":9.6}
-{"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret\">LamRA-Ret<\/a>","ViDoSeek-page-old":11.29,"MMLongBench-page-old":7.95}
-{"Models":"dp-embedding-v3-lite","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2511.19278\">ReMatch-2B<\/a>","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2511.19278\">ReMatch-3B<\/a>","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"TCE-v1","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"<a href=\"https:\/\/github.com\/QQ-MM\/QQMM-embed\">QQMM-embed-v2<\/a>","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2511.19278\">ReMatch-7B<\/a>","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"UniVec-7B","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"ReCo-7B","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"OEmbedding-v1-7B","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"UniVec-CoT-7B","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"QQMM-embed-v3","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
-{"Models":"TCR","ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}

rankings/image_ranking.csv

@@ -40,28 +40,28 @@ Rank,Models,Model Size(B),Date,Image-Overall,I-CLS,I-QA,I-RET,I-VG,VOC2007,N24Ne
 39,"<a href=""https://huggingface.co/DeepGlint-AI/UniME-LLaVA-1.6-7B"">UniME(LLaVA-1.6-7B-LoRA-LowRes)</a>",7.57,unknown,66.6,60.6,52.9,67.9,85.1,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 40,"<a href=""https://huggingface.co/zhibinlan/UME-R1-2B"">UME-R1-2B</a>",2.21,2025-10-20,66.56,64.81,62.78,67.62,77.17,80.0,81.1,79.4,52.0,23.4,42.6,75.3,75.2,50.4,88.7,62.4,51.1,92.2,67.7,64.9,54.1,42.7,67.3,78.6,46.8,76.6,53.7,71.7,74.2,75.1,68.9,67.2,90.0,17.1,62.0,66.9,88.0,69.5,83.3,84.4,71.5
 41,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec (Qwen2-VL-7B-LoRA-HighRes)</a>",8.29,unknown,65.8,62.6,57.8,69.9,81.7,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
-42,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-06-28,65.49,62.69,56.85,69.44,82.22,80.7,79.7,77.4,40.1,29.8,37.4,80.1,69.7,58.1,73.9,56.8,47.3,89.7,60.0,56.9,52.7,38.5,55.1,71.6,39.9,81.9,51.1,80.5,81.2,77.2,73.9,67.6,88.3,17.1,62.3,66.5,85.7,75.7,87.6,84.6,81.0
+42,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-12-29,65.37,62.76,56.52,69.4,81.9,80.6,79.5,77.3,40.5,30.2,37.2,80.2,70.3,57.6,74.2,56.8,47.5,88.8,59.0,56.6,52.7,38.2,54.4,71.6,39.6,81.6,51.4,80.3,81.2,77.5,73.6,67.5,88.3,16.8,62.1,66.6,85.9,75.4,87.1,84.4,80.7
 43,"<a href=""https://huggingface.co/zhibinlan/LLaVE-2B"">LLaVE-2B</a>",1.95,unknown,65.2,62.1,60.2,65.2,84.9,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
-44,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-06-28,64.85,62.9,56.29,69.47,77.3,85.0,72.9,71.0,65.2,25.2,35.9,80.8,56.3,47.4,89.3,51.5,43.6,90.1,58.8,47.4,52.9,38.2,64.9,72.2,43.3,82.7,57.5,74.5,78.2,75.3,71.4,68.6,90.6,19.5,66.9,64.3,84.1,67.1,87.1,85.8,69.2
+44,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-12-29,64.92,62.93,56.42,69.6,77.12,84.9,73.0,70.9,65.1,25.8,36.1,80.8,55.8,47.6,89.3,51.7,44.0,90.1,59.1,48.1,52.8,38.1,65.4,71.6,43.3,82.7,57.3,74.7,78.3,75.9,71.1,68.4,90.6,19.6,67.6,64.8,84.2,66.2,87.0,86.3,69.0
 45,"<a href=""https://huggingface.co/DeepGlint-AI/UniME-Phi3.5-V-4.2B"">UniME(Phi-3.5-V-LoRA)</a>",4.2,unknown,64.2,54.8,55.9,64.5,81.8,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 46,"<a href=""https://huggingface.co/JUNJIE99/MMRet-large"">MMRet-MLLM (FT)</a>",7.57,unknown,64.1,56.0,57.4,69.9,83.6,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 47,"<a href=""https://huggingface.co/friedrichor/Unite-Instruct-Qwen2-VL-2B"">UNITE-Instruct-2B</a>",2.21,unknown,63.3,63.2,55.9,65.4,75.6,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 48,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-LLaVa-Next"">VLM2Vec (LLaVA-1.6-LoRA-HighRes)</a>",7.57,unknown,62.9,61.2,49.9,67.4,86.1,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 49,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Full"">VLM2Vec (Phi-3.5-V-LoRA)</a>",4.15,unknown,60.1,54.8,54.9,62.3,79.5,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 50,"<a href=""https://huggingface.co/BAAI/BGE-VL-v1.5-zs"">BGE-VL-v1.5 (zeroshot; LlaVA-1.6-Mistral)</a>",7.57,unknown,60.1,56.1,55.3,63.9,70.8,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
-51,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-06-28,59.74,58.71,49.26,64.98,72.85,74.3,73.7,73.8,37.1,21.5,35.3,77.5,58.3,50.9,84.7,48.5,39.5,82.5,47.7,42.3,51.2,30.7,48.3,63.3,38.6,74.3,46.8,73.1,73.7,73.4,68.5,66.3,85.9,14.0,54.2,68.3,81.2,66.5,80.9,75.7,68.3
+51,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-12-29,59.73,58.61,49.16,65.02,73.05,74.3,73.8,73.7,36.9,21.7,35.0,77.5,57.9,50.6,84.7,48.2,39.7,82.7,47.3,42.2,50.9,30.5,48.1,63.2,38.8,75.1,46.8,73.4,73.8,73.1,68.3,65.8,85.8,13.8,54.6,68.4,81.4,65.7,80.8,76.6,69.1
 52,"<a href=""https://arxiv.org/pdf/2503.19900"">interestFM-UIR-CAFe-0.5B</a>",0.894,unknown,59.6,59.1,49.1,61.0,83.0,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 53,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec (Qwen2-VL-2B-LoRA-HighRes)</a>",2.21,unknown,59.3,59.0,49.4,65.4,73.4,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 54,"<a href=""https://huggingface.co/zhibinlan/LLaVE-0.5B"">LLaVE-0.5B</a>",0.894,unknown,59.1,57.4,50.3,59.8,82.9,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 55,"<a href=""https://huggingface.co/intfloat/mmE5-mllama-11b-instruct"">mmE5 (w/ 560K synthetic data)</a>",10.6,unknown,58.6,60.6,55.7,54.7,72.4,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
-56,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-06-28,55.95,57.65,34.66,71.17,59.3,80.3,50.5,69.5,69.0,24.8,39.1,64.6,53.6,41.2,83.9,33.2,21.0,41.4,20.3,17.8,22.2,28.0,76.9,46.8,39.0,60.8,54.9,79.7,83.6,71.2,57.7,67.6,91.4,37.8,78.2,75.1,96.0,31.4,60.9,78.4,66.5
+56,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-12-29,55.93,57.56,34.57,71.2,59.45,80.1,50.3,69.4,69.0,24.6,39.1,64.7,53.9,40.6,83.9,33.1,20.8,41.1,20.5,17.7,22.2,28.2,76.8,46.4,38.9,60.9,54.9,79.5,83.6,71.5,57.4,67.6,91.3,37.6,78.4,75.6,96.1,31.4,61.2,78.7,66.5
 57,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Full"">VLM2Vec (Phi-3.5-V-FT)</a>",4.15,unknown,55.9,52.8,50.3,57.8,72.3,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 58,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,unknown,55.8,56.9,41.2,67.8,53.4,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 59,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-0.5B</a>",0.894,2025-07-06,55.43,56.44,45.28,57.55,71.95,81.9,69.6,68.8,51.0,11.3,37.4,64.6,55.3,38.1,86.4,47.1,43.0,60.6,30.2,32.7,48.9,39.7,52.1,59.6,38.9,68.4,43.4,58.4,61.0,66.4,63.2,63.8,80.0,23.3,46.4,52.4,63.9,63.1,76.6,70.6,77.5
 60,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-LLaVa-Next"">VLM2Vec (LLaVA-1.6-LoRA-LowRes)</a>",7.57,unknown,55.0,54.7,50.3,56.2,64.0,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
-61,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-06-28,54.08,59.2,26.47,69.95,62.65,80.1,51.3,68.5,66.4,28.3,40.6,72.3,49.0,47.0,88.5,37.8,27.0,22.3,16.5,11.7,19.6,26.3,38.5,33.0,32.0,61.3,51.7,70.4,83.9,72.2,73.7,65.6,81.0,42.0,69.7,82.0,85.9,44.8,62.8,75.7,67.3
-62,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-06-28,52.43,51.7,34.12,66.86,56.73,78.7,29.8,66.5,59.4,21.7,37.4,58.9,51.3,36.3,77.0,39.9,34.1,37.1,23.7,15.0,24.6,31.3,57.4,46.1,32.0,62.5,44.7,70.1,74.2,65.7,71.1,64.4,85.7,33.4,67.0,84.8,78.7,36.0,57.1,82.6,51.2
-63,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-06-28,51.89,54.44,29.86,66.93,55.47,75.9,50.1,67.3,70.6,26.5,35.8,58.3,52.5,28.8,78.6,29.9,18.6,29.8,11.6,13.4,16.2,27.3,75.1,39.7,37.0,48.1,44.2,74.7,78.3,68.1,63.1,67.0,88.8,32.9,73.9,72.3,91.8,28.6,55.9,73.3,64.1
+61,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-12-29,54.13,59.27,26.49,70.06,62.62,80.0,51.6,68.7,66.3,28.3,40.5,72.6,49.1,47.2,88.4,37.9,26.9,22.4,16.5,11.6,19.8,26.5,38.3,33.1,31.9,61.0,52.1,70.9,84.1,72.0,73.6,65.7,81.2,41.7,70.1,82.2,86.1,44.7,62.5,76.2,67.1
+62,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-12-29,52.54,51.19,33.31,67.72,58.45,78.2,30.4,64.9,59.2,20.6,35.9,59.2,50.2,36.3,77.0,37.7,31.2,37.9,23.2,14.5,24.4,31.7,55.0,45.5,32.0,63.0,46.6,69.9,75.5,68.0,71.4,65.8,85.7,34.7,66.5,85.0,80.5,38.7,59.1,84.5,51.5
+63,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-12-29,51.87,54.55,29.84,66.75,55.62,75.8,50.3,67.0,71.2,26.4,36.1,58.1,53.7,28.4,78.5,30.1,18.6,30.0,11.8,13.3,15.6,27.1,75.3,39.5,37.1,47.7,43.1,74.8,77.7,68.3,63.2,67.6,88.8,32.2,73.8,72.1,91.7,28.4,55.8,73.7,64.6
 64,"<a href=""https://huggingface.co/nvidia/MM-Embed"">MM-Embed</a>",8.18,unknown,50.0,48.1,32.3,63.8,57.8,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 65,"<a href=""https://doi.org/10.48550/arXiv.2212.07143"">OpenCLIP-FT</a>",0.428,unknown,47.2,56.0,21.9,55.4,64.1,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 66,"<a href=""https://doi.org/10.48550/arXiv.2103.00020"">CLIP-FT</a>",0.428,unknown,45.4,55.2,19.7,53.2,62.2,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
@@ -70,7 +70,7 @@ Rank,Models,Model Size(B),Date,Image-Overall,I-CLS,I-QA,I-RET,I-VG,VOC2007,N24Ne
 69,"<a href=""https://huggingface.co/TIGER-Lab/UniIR"">UniIR (BLIP_FF)</a>",0.247,unknown,42.8,42.1,15.0,60.1,62.2,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 70,"<a href=""https://github.com/mlfoundations/open_clip"">open_clip-ViT-L/14</a>",0.428,unknown,39.7,47.8,10.9,52.3,53.3,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 71,"<a href=""https://huggingface.co/openai/clip-vit-large-patch14"">clip-vit-large-patch14</a>",0.428,unknown,37.8,42.8,9.1,53.0,51.8,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
-72,"<a href=""https://huggingface.co/vidore/colpali-v1.3"">colpali-v1.3</a>",2.92,2025-06-28,34.89,40.3,11.51,48.05,40.3,69.8,25.5,56.1,45.6,6.0,27.5,42.4,50.6,14.9,64.6,9.4,6.6,11.3,5.0,5.7,6.1,16.3,8.3,18.8,27.6,41.2,8.2,50.1,47.6,59.2,49.9,65.5,53.8,5.9,80.5,50.0,64.7,36.7,64.5,3.9,56.1
+72,colpali-v1.3,unknown,2025-12-29,34.89,40.45,11.48,48.15,39.75,69.8,25.6,56.2,45.6,6.0,27.7,42.3,50.9,15.2,65.2,9.4,6.4,11.3,5.0,5.7,6.1,16.5,8.1,18.9,27.4,41.1,8.2,50.5,47.7,58.6,50.4,65.4,54.2,5.9,80.5,50.1,65.2,36.5,65.0,1.2,56.3
 73,"<a href=""https://huggingface.co/google/siglip-base-patch16-224"">siglip-base-patch16-224</a>",0.203,unknown,34.8,40.3,8.4,31.6,59.5,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 74,"<a href=""https://github.com/google-deepmind/magiclens"">Magiclens</a>",0.428,unknown,27.8,38.8,8.3,35.4,26.0,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-
 75,"<a href=""https://huggingface.co/Salesforce/blip2-opt-2.7b"">blip2-opt-2.7b</a>",3.74,unknown,25.2,27.0,4.2,33.9,47.0,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-,-

rankings/image_ranking.jsonl

@@ -39,28 +39,28 @@
 {"Rank":39,"Models":"<a href=\"https:\/\/huggingface.co\/DeepGlint-AI\/UniME-LLaVA-1.6-7B\">UniME(LLaVA-1.6-7B-LoRA-LowRes)<\/a>","Model Size(B)":7.57,"Date":"unknown","Image-Overall":66.6,"I-CLS":60.6,"I-QA":52.9,"I-RET":67.9,"I-VG":85.1,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":40,"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/UME-R1-2B\">UME-R1-2B<\/a>","Model Size(B)":2.21,"Date":"2025-10-20","Image-Overall":66.56,"I-CLS":64.81,"I-QA":62.78,"I-RET":67.62,"I-VG":77.17,"VOC2007":80.0,"N24News":81.1,"SUN397":79.4,"ObjectNet":52.0,"Country211":23.4,"Place365":42.6,"ImageNet-1K":75.3,"HatefulMemes":75.2,"ImageNet-A":50.4,"ImageNet-R":88.7,"OK-VQA":62.4,"A-OKVQA":51.1,"DocVQA":92.2,"InfographicsVQA":67.7,"ChartQA":64.9,"Visual7W":54.1,"ScienceQA":42.7,"GQA":67.3,"TextVQA":78.6,"VizWiz":46.8,"VisDial":76.6,"CIRR":53.7,"VisualNews_t2i":71.7,"VisualNews_i2t":74.2,"MSCOCO_t2i":75.1,"MSCOCO_i2t":68.9,"NIGHTS":67.2,"WebQA":90.0,"FashionIQ":17.1,"Wiki-SS-NQ":62.0,"OVEN":66.9,"EDIS":88.0,"MSCOCO":69.5,"RefCOCO":83.3,"RefCOCO-Matching":84.4,"Visual7W-Pointing":71.5}
 {"Rank":41,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-7B\">VLM2Vec (Qwen2-VL-7B-LoRA-HighRes)<\/a>","Model Size(B)":8.29,"Date":"unknown","Image-Overall":65.8,"I-CLS":62.6,"I-QA":57.8,"I-RET":69.9,"I-VG":81.7,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
-{"Rank":42,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-7B\">VLM2Vec-V1-Qwen2VL-7B<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Image-Overall":65.49,"I-CLS":62.69,"I-QA":56.85,"I-RET":69.44,"I-VG":82.22,"VOC2007":80.7,"N24News":79.7,"SUN397":77.4,"ObjectNet":40.1,"Country211":29.8,"Place365":37.4,"ImageNet-1K":80.1,"HatefulMemes":69.7,"ImageNet-A":58.1,"ImageNet-R":73.9,"OK-VQA":56.8,"A-OKVQA":47.3,"DocVQA":89.7,"InfographicsVQA":60.0,"ChartQA":56.9,"Visual7W":52.7,"ScienceQA":38.5,"GQA":55.1,"TextVQA":71.6,"VizWiz":39.9,"VisDial":81.9,"CIRR":51.1,"VisualNews_t2i":80.5,"VisualNews_i2t":81.2,"MSCOCO_t2i":77.2,"MSCOCO_i2t":73.9,"NIGHTS":67.6,"WebQA":88.3,"FashionIQ":17.1,"Wiki-SS-NQ":62.3,"OVEN":66.5,"EDIS":85.7,"MSCOCO":75.7,"RefCOCO":87.6,"RefCOCO-Matching":84.6,"Visual7W-Pointing":81.0}
+{"Rank":42,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-7B\">VLM2Vec-V1-Qwen2VL-7B<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Image-Overall":65.37,"I-CLS":62.76,"I-QA":56.52,"I-RET":69.4,"I-VG":81.9,"VOC2007":80.6,"N24News":79.5,"SUN397":77.3,"ObjectNet":40.5,"Country211":30.2,"Place365":37.2,"ImageNet-1K":80.2,"HatefulMemes":70.3,"ImageNet-A":57.6,"ImageNet-R":74.2,"OK-VQA":56.8,"A-OKVQA":47.5,"DocVQA":88.8,"InfographicsVQA":59.0,"ChartQA":56.6,"Visual7W":52.7,"ScienceQA":38.2,"GQA":54.4,"TextVQA":71.6,"VizWiz":39.6,"VisDial":81.6,"CIRR":51.4,"VisualNews_t2i":80.3,"VisualNews_i2t":81.2,"MSCOCO_t2i":77.5,"MSCOCO_i2t":73.6,"NIGHTS":67.5,"WebQA":88.3,"FashionIQ":16.8,"Wiki-SS-NQ":62.1,"OVEN":66.6,"EDIS":85.9,"MSCOCO":75.4,"RefCOCO":87.1,"RefCOCO-Matching":84.4,"Visual7W-Pointing":80.7}
 {"Rank":43,"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/LLaVE-2B\">LLaVE-2B<\/a>","Model Size(B)":1.95,"Date":"unknown","Image-Overall":65.2,"I-CLS":62.1,"I-QA":60.2,"I-RET":65.2,"I-VG":84.9,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
-{"Rank":44,"Models":"<a href=\"https:\/\/huggingface.co\/VLM2Vec\/VLM2Vec-V2.0\">VLM2Vec-V2.0-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Image-Overall":64.85,"I-CLS":62.9,"I-QA":56.29,"I-RET":69.47,"I-VG":77.3,"VOC2007":85.0,"N24News":72.9,"SUN397":71.0,"ObjectNet":65.2,"Country211":25.2,"Place365":35.9,"ImageNet-1K":80.8,"HatefulMemes":56.3,"ImageNet-A":47.4,"ImageNet-R":89.3,"OK-VQA":51.5,"A-OKVQA":43.6,"DocVQA":90.1,"InfographicsVQA":58.8,"ChartQA":47.4,"Visual7W":52.9,"ScienceQA":38.2,"GQA":64.9,"TextVQA":72.2,"VizWiz":43.3,"VisDial":82.7,"CIRR":57.5,"VisualNews_t2i":74.5,"VisualNews_i2t":78.2,"MSCOCO_t2i":75.3,"MSCOCO_i2t":71.4,"NIGHTS":68.6,"WebQA":90.6,"FashionIQ":19.5,"Wiki-SS-NQ":66.9,"OVEN":64.3,"EDIS":84.1,"MSCOCO":67.1,"RefCOCO":87.1,"RefCOCO-Matching":85.8,"Visual7W-Pointing":69.2}
+{"Rank":44,"Models":"<a href=\"https:\/\/huggingface.co\/VLM2Vec\/VLM2Vec-V2.0\">VLM2Vec-V2.0-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Image-Overall":64.92,"I-CLS":62.93,"I-QA":56.42,"I-RET":69.6,"I-VG":77.12,"VOC2007":84.9,"N24News":73.0,"SUN397":70.9,"ObjectNet":65.1,"Country211":25.8,"Place365":36.1,"ImageNet-1K":80.8,"HatefulMemes":55.8,"ImageNet-A":47.6,"ImageNet-R":89.3,"OK-VQA":51.7,"A-OKVQA":44.0,"DocVQA":90.1,"InfographicsVQA":59.1,"ChartQA":48.1,"Visual7W":52.8,"ScienceQA":38.1,"GQA":65.4,"TextVQA":71.6,"VizWiz":43.3,"VisDial":82.7,"CIRR":57.3,"VisualNews_t2i":74.7,"VisualNews_i2t":78.3,"MSCOCO_t2i":75.9,"MSCOCO_i2t":71.1,"NIGHTS":68.4,"WebQA":90.6,"FashionIQ":19.6,"Wiki-SS-NQ":67.6,"OVEN":64.8,"EDIS":84.2,"MSCOCO":66.2,"RefCOCO":87.0,"RefCOCO-Matching":86.3,"Visual7W-Pointing":69.0}
 {"Rank":45,"Models":"<a href=\"https:\/\/huggingface.co\/DeepGlint-AI\/UniME-Phi3.5-V-4.2B\">UniME(Phi-3.5-V-LoRA)<\/a>","Model Size(B)":4.2,"Date":"unknown","Image-Overall":64.2,"I-CLS":54.8,"I-QA":55.9,"I-RET":64.5,"I-VG":81.8,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":46,"Models":"<a href=\"https:\/\/huggingface.co\/JUNJIE99\/MMRet-large\">MMRet-MLLM (FT)<\/a>","Model Size(B)":7.57,"Date":"unknown","Image-Overall":64.1,"I-CLS":56.0,"I-QA":57.4,"I-RET":69.9,"I-VG":83.6,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":47,"Models":"<a href=\"https:\/\/huggingface.co\/friedrichor\/Unite-Instruct-Qwen2-VL-2B\">UNITE-Instruct-2B<\/a>","Model Size(B)":2.21,"Date":"unknown","Image-Overall":63.3,"I-CLS":63.2,"I-QA":55.9,"I-RET":65.4,"I-VG":75.6,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":48,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-LLaVa-Next\">VLM2Vec (LLaVA-1.6-LoRA-HighRes)<\/a>","Model Size(B)":7.57,"Date":"unknown","Image-Overall":62.9,"I-CLS":61.2,"I-QA":49.9,"I-RET":67.4,"I-VG":86.1,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":49,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Full\">VLM2Vec (Phi-3.5-V-LoRA)<\/a>","Model Size(B)":4.15,"Date":"unknown","Image-Overall":60.1,"I-CLS":54.8,"I-QA":54.9,"I-RET":62.3,"I-VG":79.5,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":50,"Models":"<a href=\"https:\/\/huggingface.co\/BAAI\/BGE-VL-v1.5-zs\">BGE-VL-v1.5 (zeroshot; LlaVA-1.6-Mistral)<\/a>","Model Size(B)":7.57,"Date":"unknown","Image-Overall":60.1,"I-CLS":56.1,"I-QA":55.3,"I-RET":63.9,"I-VG":70.8,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
-{"Rank":51,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-2B\">VLM2Vec-V1-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Image-Overall":59.74,"I-CLS":58.71,"I-QA":49.26,"I-RET":64.98,"I-VG":72.85,"VOC2007":74.3,"N24News":73.7,"SUN397":73.8,"ObjectNet":37.1,"Country211":21.5,"Place365":35.3,"ImageNet-1K":77.5,"HatefulMemes":58.3,"ImageNet-A":50.9,"ImageNet-R":84.7,"OK-VQA":48.5,"A-OKVQA":39.5,"DocVQA":82.5,"InfographicsVQA":47.7,"ChartQA":42.3,"Visual7W":51.2,"ScienceQA":30.7,"GQA":48.3,"TextVQA":63.3,"VizWiz":38.6,"VisDial":74.3,"CIRR":46.8,"VisualNews_t2i":73.1,"VisualNews_i2t":73.7,"MSCOCO_t2i":73.4,"MSCOCO_i2t":68.5,"NIGHTS":66.3,"WebQA":85.9,"FashionIQ":14.0,"Wiki-SS-NQ":54.2,"OVEN":68.3,"EDIS":81.2,"MSCOCO":66.5,"RefCOCO":80.9,"RefCOCO-Matching":75.7,"Visual7W-Pointing":68.3}
+{"Rank":51,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-2B\">VLM2Vec-V1-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Image-Overall":59.73,"I-CLS":58.61,"I-QA":49.16,"I-RET":65.02,"I-VG":73.05,"VOC2007":74.3,"N24News":73.8,"SUN397":73.7,"ObjectNet":36.9,"Country211":21.7,"Place365":35.0,"ImageNet-1K":77.5,"HatefulMemes":57.9,"ImageNet-A":50.6,"ImageNet-R":84.7,"OK-VQA":48.2,"A-OKVQA":39.7,"DocVQA":82.7,"InfographicsVQA":47.3,"ChartQA":42.2,"Visual7W":50.9,"ScienceQA":30.5,"GQA":48.1,"TextVQA":63.2,"VizWiz":38.8,"VisDial":75.1,"CIRR":46.8,"VisualNews_t2i":73.4,"VisualNews_i2t":73.8,"MSCOCO_t2i":73.1,"MSCOCO_i2t":68.3,"NIGHTS":65.8,"WebQA":85.8,"FashionIQ":13.8,"Wiki-SS-NQ":54.6,"OVEN":68.4,"EDIS":81.4,"MSCOCO":65.7,"RefCOCO":80.8,"RefCOCO-Matching":76.6,"Visual7W-Pointing":69.1}
 {"Rank":52,"Models":"<a href=\"https:\/\/arxiv.org\/pdf\/2503.19900\">interestFM-UIR-CAFe-0.5B<\/a>","Model Size(B)":0.894,"Date":"unknown","Image-Overall":59.6,"I-CLS":59.1,"I-QA":49.1,"I-RET":61.0,"I-VG":83.0,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":53,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-2B\">VLM2Vec (Qwen2-VL-2B-LoRA-HighRes)<\/a>","Model Size(B)":2.21,"Date":"unknown","Image-Overall":59.3,"I-CLS":59.0,"I-QA":49.4,"I-RET":65.4,"I-VG":73.4,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":54,"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/LLaVE-0.5B\">LLaVE-0.5B<\/a>","Model Size(B)":0.894,"Date":"unknown","Image-Overall":59.1,"I-CLS":57.4,"I-QA":50.3,"I-RET":59.8,"I-VG":82.9,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":55,"Models":"<a href=\"https:\/\/huggingface.co\/intfloat\/mmE5-mllama-11b-instruct\">mmE5 (w\/ 560K synthetic data)<\/a>","Model Size(B)":10.6,"Date":"unknown","Image-Overall":58.6,"I-CLS":60.6,"I-QA":55.7,"I-RET":54.7,"I-VG":72.4,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
-{"Rank":56,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Image-Overall":55.95,"I-CLS":57.65,"I-QA":34.66,"I-RET":71.17,"I-VG":59.3,"VOC2007":80.3,"N24News":50.5,"SUN397":69.5,"ObjectNet":69.0,"Country211":24.8,"Place365":39.1,"ImageNet-1K":64.6,"HatefulMemes":53.6,"ImageNet-A":41.2,"ImageNet-R":83.9,"OK-VQA":33.2,"A-OKVQA":21.0,"DocVQA":41.4,"InfographicsVQA":20.3,"ChartQA":17.8,"Visual7W":22.2,"ScienceQA":28.0,"GQA":76.9,"TextVQA":46.8,"VizWiz":39.0,"VisDial":60.8,"CIRR":54.9,"VisualNews_t2i":79.7,"VisualNews_i2t":83.6,"MSCOCO_t2i":71.2,"MSCOCO_i2t":57.7,"NIGHTS":67.6,"WebQA":91.4,"FashionIQ":37.8,"Wiki-SS-NQ":78.2,"OVEN":75.1,"EDIS":96.0,"MSCOCO":31.4,"RefCOCO":60.9,"RefCOCO-Matching":78.4,"Visual7W-Pointing":66.5}
+{"Rank":56,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Image-Overall":55.93,"I-CLS":57.56,"I-QA":34.57,"I-RET":71.2,"I-VG":59.45,"VOC2007":80.1,"N24News":50.3,"SUN397":69.4,"ObjectNet":69.0,"Country211":24.6,"Place365":39.1,"ImageNet-1K":64.7,"HatefulMemes":53.9,"ImageNet-A":40.6,"ImageNet-R":83.9,"OK-VQA":33.1,"A-OKVQA":20.8,"DocVQA":41.1,"InfographicsVQA":20.5,"ChartQA":17.7,"Visual7W":22.2,"ScienceQA":28.2,"GQA":76.8,"TextVQA":46.4,"VizWiz":38.9,"VisDial":60.9,"CIRR":54.9,"VisualNews_t2i":79.5,"VisualNews_i2t":83.6,"MSCOCO_t2i":71.5,"MSCOCO_i2t":57.4,"NIGHTS":67.6,"WebQA":91.3,"FashionIQ":37.6,"Wiki-SS-NQ":78.4,"OVEN":75.6,"EDIS":96.1,"MSCOCO":31.4,"RefCOCO":61.2,"RefCOCO-Matching":78.7,"Visual7W-Pointing":66.5}
 {"Rank":57,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Full\">VLM2Vec (Phi-3.5-V-FT)<\/a>","Model Size(B)":4.15,"Date":"unknown","Image-Overall":55.9,"I-CLS":52.8,"I-QA":50.3,"I-RET":57.8,"I-VG":72.3,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":58,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size(B)":2.21,"Date":"unknown","Image-Overall":55.8,"I-CLS":56.9,"I-QA":41.2,"I-RET":67.8,"I-VG":53.4,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":59,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-0.5B<\/a>","Model Size(B)":0.894,"Date":"2025-07-06","Image-Overall":55.43,"I-CLS":56.44,"I-QA":45.28,"I-RET":57.55,"I-VG":71.95,"VOC2007":81.9,"N24News":69.6,"SUN397":68.8,"ObjectNet":51.0,"Country211":11.3,"Place365":37.4,"ImageNet-1K":64.6,"HatefulMemes":55.3,"ImageNet-A":38.1,"ImageNet-R":86.4,"OK-VQA":47.1,"A-OKVQA":43.0,"DocVQA":60.6,"InfographicsVQA":30.2,"ChartQA":32.7,"Visual7W":48.9,"ScienceQA":39.7,"GQA":52.1,"TextVQA":59.6,"VizWiz":38.9,"VisDial":68.4,"CIRR":43.4,"VisualNews_t2i":58.4,"VisualNews_i2t":61.0,"MSCOCO_t2i":66.4,"MSCOCO_i2t":63.2,"NIGHTS":63.8,"WebQA":80.0,"FashionIQ":23.3,"Wiki-SS-NQ":46.4,"OVEN":52.4,"EDIS":63.9,"MSCOCO":63.1,"RefCOCO":76.6,"RefCOCO-Matching":70.6,"Visual7W-Pointing":77.5}
 {"Rank":60,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-LLaVa-Next\">VLM2Vec (LLaVA-1.6-LoRA-LowRes)<\/a>","Model Size(B)":7.57,"Date":"unknown","Image-Overall":55.0,"I-CLS":54.7,"I-QA":50.3,"I-RET":56.2,"I-VG":64.0,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
-{"Rank":61,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret\">LamRA-Ret<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Image-Overall":54.08,"I-CLS":59.2,"I-QA":26.47,"I-RET":69.95,"I-VG":62.65,"VOC2007":80.1,"N24News":51.3,"SUN397":68.5,"ObjectNet":66.4,"Country211":28.3,"Place365":40.6,"ImageNet-1K":72.3,"HatefulMemes":49.0,"ImageNet-A":47.0,"ImageNet-R":88.5,"OK-VQA":37.8,"A-OKVQA":27.0,"DocVQA":22.3,"InfographicsVQA":16.5,"ChartQA":11.7,"Visual7W":19.6,"ScienceQA":26.3,"GQA":38.5,"TextVQA":33.0,"VizWiz":32.0,"VisDial":61.3,"CIRR":51.7,"VisualNews_t2i":70.4,"VisualNews_i2t":83.9,"MSCOCO_t2i":72.2,"MSCOCO_i2t":73.7,"NIGHTS":65.6,"WebQA":81.0,"FashionIQ":42.0,"Wiki-SS-NQ":69.7,"OVEN":82.0,"EDIS":85.9,"MSCOCO":44.8,"RefCOCO":62.8,"RefCOCO-Matching":75.7,"Visual7W-Pointing":67.3}
-{"Rank":62,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret-Qwen2.5VL-7b\">LamRA-Ret-Qwen2.5VL-7b<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Image-Overall":52.43,"I-CLS":51.7,"I-QA":34.12,"I-RET":66.86,"I-VG":56.73,"VOC2007":78.7,"N24News":29.8,"SUN397":66.5,"ObjectNet":59.4,"Country211":21.7,"Place365":37.4,"ImageNet-1K":58.9,"HatefulMemes":51.3,"ImageNet-A":36.3,"ImageNet-R":77.0,"OK-VQA":39.9,"A-OKVQA":34.1,"DocVQA":37.1,"InfographicsVQA":23.7,"ChartQA":15.0,"Visual7W":24.6,"ScienceQA":31.3,"GQA":57.4,"TextVQA":46.1,"VizWiz":32.0,"VisDial":62.5,"CIRR":44.7,"VisualNews_t2i":70.1,"VisualNews_i2t":74.2,"MSCOCO_t2i":65.7,"MSCOCO_i2t":71.1,"NIGHTS":64.4,"WebQA":85.7,"FashionIQ":33.4,"Wiki-SS-NQ":67.0,"OVEN":84.8,"EDIS":78.7,"MSCOCO":36.0,"RefCOCO":57.1,"RefCOCO-Matching":82.6,"Visual7W-Pointing":51.2}
-{"Rank":63,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Image-Overall":51.89,"I-CLS":54.44,"I-QA":29.86,"I-RET":66.93,"I-VG":55.47,"VOC2007":75.9,"N24News":50.1,"SUN397":67.3,"ObjectNet":70.6,"Country211":26.5,"Place365":35.8,"ImageNet-1K":58.3,"HatefulMemes":52.5,"ImageNet-A":28.8,"ImageNet-R":78.6,"OK-VQA":29.9,"A-OKVQA":18.6,"DocVQA":29.8,"InfographicsVQA":11.6,"ChartQA":13.4,"Visual7W":16.2,"ScienceQA":27.3,"GQA":75.1,"TextVQA":39.7,"VizWiz":37.0,"VisDial":48.1,"CIRR":44.2,"VisualNews_t2i":74.7,"VisualNews_i2t":78.3,"MSCOCO_t2i":68.1,"MSCOCO_i2t":63.1,"NIGHTS":67.0,"WebQA":88.8,"FashionIQ":32.9,"Wiki-SS-NQ":73.9,"OVEN":72.3,"EDIS":91.8,"MSCOCO":28.6,"RefCOCO":55.9,"RefCOCO-Matching":73.3,"Visual7W-Pointing":64.1}
+{"Rank":61,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret\">LamRA-Ret<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Image-Overall":54.13,"I-CLS":59.27,"I-QA":26.49,"I-RET":70.06,"I-VG":62.62,"VOC2007":80.0,"N24News":51.6,"SUN397":68.7,"ObjectNet":66.3,"Country211":28.3,"Place365":40.5,"ImageNet-1K":72.6,"HatefulMemes":49.1,"ImageNet-A":47.2,"ImageNet-R":88.4,"OK-VQA":37.9,"A-OKVQA":26.9,"DocVQA":22.4,"InfographicsVQA":16.5,"ChartQA":11.6,"Visual7W":19.8,"ScienceQA":26.5,"GQA":38.3,"TextVQA":33.1,"VizWiz":31.9,"VisDial":61.0,"CIRR":52.1,"VisualNews_t2i":70.9,"VisualNews_i2t":84.1,"MSCOCO_t2i":72.0,"MSCOCO_i2t":73.6,"NIGHTS":65.7,"WebQA":81.2,"FashionIQ":41.7,"Wiki-SS-NQ":70.1,"OVEN":82.2,"EDIS":86.1,"MSCOCO":44.7,"RefCOCO":62.5,"RefCOCO-Matching":76.2,"Visual7W-Pointing":67.1}
+{"Rank":62,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret-Qwen2.5VL-7b\">LamRA-Ret-Qwen2.5VL-7b<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Image-Overall":52.54,"I-CLS":51.19,"I-QA":33.31,"I-RET":67.72,"I-VG":58.45,"VOC2007":78.2,"N24News":30.4,"SUN397":64.9,"ObjectNet":59.2,"Country211":20.6,"Place365":35.9,"ImageNet-1K":59.2,"HatefulMemes":50.2,"ImageNet-A":36.3,"ImageNet-R":77.0,"OK-VQA":37.7,"A-OKVQA":31.2,"DocVQA":37.9,"InfographicsVQA":23.2,"ChartQA":14.5,"Visual7W":24.4,"ScienceQA":31.7,"GQA":55.0,"TextVQA":45.5,"VizWiz":32.0,"VisDial":63.0,"CIRR":46.6,"VisualNews_t2i":69.9,"VisualNews_i2t":75.5,"MSCOCO_t2i":68.0,"MSCOCO_i2t":71.4,"NIGHTS":65.8,"WebQA":85.7,"FashionIQ":34.7,"Wiki-SS-NQ":66.5,"OVEN":85.0,"EDIS":80.5,"MSCOCO":38.7,"RefCOCO":59.1,"RefCOCO-Matching":84.5,"Visual7W-Pointing":51.5}
+{"Rank":63,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Image-Overall":51.87,"I-CLS":54.55,"I-QA":29.84,"I-RET":66.75,"I-VG":55.62,"VOC2007":75.8,"N24News":50.3,"SUN397":67.0,"ObjectNet":71.2,"Country211":26.4,"Place365":36.1,"ImageNet-1K":58.1,"HatefulMemes":53.7,"ImageNet-A":28.4,"ImageNet-R":78.5,"OK-VQA":30.1,"A-OKVQA":18.6,"DocVQA":30.0,"InfographicsVQA":11.8,"ChartQA":13.3,"Visual7W":15.6,"ScienceQA":27.1,"GQA":75.3,"TextVQA":39.5,"VizWiz":37.1,"VisDial":47.7,"CIRR":43.1,"VisualNews_t2i":74.8,"VisualNews_i2t":77.7,"MSCOCO_t2i":68.3,"MSCOCO_i2t":63.2,"NIGHTS":67.6,"WebQA":88.8,"FashionIQ":32.2,"Wiki-SS-NQ":73.8,"OVEN":72.1,"EDIS":91.7,"MSCOCO":28.4,"RefCOCO":55.8,"RefCOCO-Matching":73.7,"Visual7W-Pointing":64.6}
 {"Rank":64,"Models":"<a href=\"https:\/\/huggingface.co\/nvidia\/MM-Embed\">MM-Embed<\/a>","Model Size(B)":8.18,"Date":"unknown","Image-Overall":50.0,"I-CLS":48.1,"I-QA":32.3,"I-RET":63.8,"I-VG":57.8,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":65,"Models":"<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2212.07143\">OpenCLIP-FT<\/a>","Model Size(B)":0.428,"Date":"unknown","Image-Overall":47.2,"I-CLS":56.0,"I-QA":21.9,"I-RET":55.4,"I-VG":64.1,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":66,"Models":"<a href=\"https:\/\/doi.org\/10.48550\/arXiv.2103.00020\">CLIP-FT<\/a>","Model Size(B)":0.428,"Date":"unknown","Image-Overall":45.4,"I-CLS":55.2,"I-QA":19.7,"I-RET":53.2,"I-VG":62.2,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
@@ -69,7 +69,7 @@
 {"Rank":69,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/UniIR\">UniIR (BLIP_FF)<\/a>","Model Size(B)":0.247,"Date":"unknown","Image-Overall":42.8,"I-CLS":42.1,"I-QA":15.0,"I-RET":60.1,"I-VG":62.2,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":70,"Models":"<a href=\"https:\/\/github.com\/mlfoundations\/open_clip\">open_clip-ViT-L\/14<\/a>","Model Size(B)":0.428,"Date":"unknown","Image-Overall":39.7,"I-CLS":47.8,"I-QA":10.9,"I-RET":52.3,"I-VG":53.3,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":71,"Models":"<a href=\"https:\/\/huggingface.co\/openai\/clip-vit-large-patch14\">clip-vit-large-patch14<\/a>","Model Size(B)":0.428,"Date":"unknown","Image-Overall":37.8,"I-CLS":42.8,"I-QA":9.1,"I-RET":53.0,"I-VG":51.8,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
-{"Rank":72,"Models":"<a href=\"https:\/\/huggingface.co\/vidore\/colpali-v1.3\">colpali-v1.3<\/a>","Model Size(B)":2.92,"Date":"2025-06-28","Image-Overall":34.89,"I-CLS":40.3,"I-QA":11.51,"I-RET":48.05,"I-VG":40.3,"VOC2007":69.8,"N24News":25.5,"SUN397":56.1,"ObjectNet":45.6,"Country211":6.0,"Place365":27.5,"ImageNet-1K":42.4,"HatefulMemes":50.6,"ImageNet-A":14.9,"ImageNet-R":64.6,"OK-VQA":9.4,"A-OKVQA":6.6,"DocVQA":11.3,"InfographicsVQA":5.0,"ChartQA":5.7,"Visual7W":6.1,"ScienceQA":16.3,"GQA":8.3,"TextVQA":18.8,"VizWiz":27.6,"VisDial":41.2,"CIRR":8.2,"VisualNews_t2i":50.1,"VisualNews_i2t":47.6,"MSCOCO_t2i":59.2,"MSCOCO_i2t":49.9,"NIGHTS":65.5,"WebQA":53.8,"FashionIQ":5.9,"Wiki-SS-NQ":80.5,"OVEN":50.0,"EDIS":64.7,"MSCOCO":36.7,"RefCOCO":64.5,"RefCOCO-Matching":3.9,"Visual7W-Pointing":56.1}
+{"Rank":72,"Models":"colpali-v1.3","Model Size(B)":"unknown","Date":"2025-12-29","Image-Overall":34.89,"I-CLS":40.45,"I-QA":11.48,"I-RET":48.15,"I-VG":39.75,"VOC2007":69.8,"N24News":25.6,"SUN397":56.2,"ObjectNet":45.6,"Country211":6.0,"Place365":27.7,"ImageNet-1K":42.3,"HatefulMemes":50.9,"ImageNet-A":15.2,"ImageNet-R":65.2,"OK-VQA":9.4,"A-OKVQA":6.4,"DocVQA":11.3,"InfographicsVQA":5.0,"ChartQA":5.7,"Visual7W":6.1,"ScienceQA":16.5,"GQA":8.1,"TextVQA":18.9,"VizWiz":27.4,"VisDial":41.1,"CIRR":8.2,"VisualNews_t2i":50.5,"VisualNews_i2t":47.7,"MSCOCO_t2i":58.6,"MSCOCO_i2t":50.4,"NIGHTS":65.4,"WebQA":54.2,"FashionIQ":5.9,"Wiki-SS-NQ":80.5,"OVEN":50.1,"EDIS":65.2,"MSCOCO":36.5,"RefCOCO":65.0,"RefCOCO-Matching":1.2,"Visual7W-Pointing":56.3}
 {"Rank":73,"Models":"<a href=\"https:\/\/huggingface.co\/google\/siglip-base-patch16-224\">siglip-base-patch16-224<\/a>","Model Size(B)":0.203,"Date":"unknown","Image-Overall":34.8,"I-CLS":40.3,"I-QA":8.4,"I-RET":31.6,"I-VG":59.5,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":74,"Models":"<a href=\"https:\/\/github.com\/google-deepmind\/magiclens\">Magiclens<\/a>","Model Size(B)":0.428,"Date":"unknown","Image-Overall":27.8,"I-CLS":38.8,"I-QA":8.3,"I-RET":35.4,"I-VG":26.0,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}
 {"Rank":75,"Models":"<a href=\"https:\/\/huggingface.co\/Salesforce\/blip2-opt-2.7b\">blip2-opt-2.7b<\/a>","Model Size(B)":3.74,"Date":"unknown","Image-Overall":25.2,"I-CLS":27.0,"I-QA":4.2,"I-RET":33.9,"I-VG":47.0,"VOC2007":"-","N24News":"-","SUN397":"-","ObjectNet":"-","Country211":"-","Place365":"-","ImageNet-1K":"-","HatefulMemes":"-","ImageNet-A":"-","ImageNet-R":"-","OK-VQA":"-","A-OKVQA":"-","DocVQA":"-","InfographicsVQA":"-","ChartQA":"-","Visual7W":"-","ScienceQA":"-","GQA":"-","TextVQA":"-","VizWiz":"-","VisDial":"-","CIRR":"-","VisualNews_t2i":"-","VisualNews_i2t":"-","MSCOCO_t2i":"-","MSCOCO_i2t":"-","NIGHTS":"-","WebQA":"-","FashionIQ":"-","Wiki-SS-NQ":"-","OVEN":"-","EDIS":"-","MSCOCO":"-","RefCOCO":"-","RefCOCO-Matching":"-","Visual7W-Pointing":"-"}

rankings/mmeb_ranking.csv

@@ -18,15 +18,15 @@ Rank,Models,Model Size(B),Date,Overall,Image-Overall,Video-Overall,Visdoc-Overal
 17,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-7B</a>",8.03,2025-07-06,60.63,67.56,42.4,63.92
 18,"<a href=""https://huggingface.co/zhibinlan/UME-R1-2B"">UME-R1-2B</a>",2.21,2025-10-20,60.11,66.56,42.23,63.86
 19,"<a href=""https://github.com/GaryGuTC/UniME-v2"">UniME-V2-LLaVA-OneVision-7B</a>",8.03,2025-10-15,59.56,71.77,39.01,56.68
-20,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-06-28,58.02,64.85,34.58,65.36
-21,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-06-28,57.83,55.95,38.43,75.18
-22,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-06-28,54.08,51.89,33.64,72.71
-23,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-06-28,52.29,65.49,33.72,46.43
-24,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-0.5B</a>",0.894,2025-07-06,49.68,55.43,35.87,51.41
-25,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-06-28,47.41,52.43,33.6,50.24
-26,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-06-28,46.96,59.74,28.61,41.55
-27,"<a href=""https://huggingface.co/vidore/colpali-v1.3"">colpali-v1.3</a>",2.92,2025-06-28,44.44,34.89,28.17,70.97
-28,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-06-28,40.38,54.08,34.95,23.91
+20,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-12-29,57.49,64.92,34.67,63.47
+21,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-12-29,57.32,55.93,38.43,73.58
+22,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-12-29,53.65,51.87,33.59,71.35
+23,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-0.5B</a>",0.894,2025-07-06,49.68,55.43,35.87,51.41
+24,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-12-29,47.0,65.37,33.79,29.34
+25,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-12-29,46.82,52.54,33.83,47.99
+26,colpali-v1.3,unknown,2025-12-29,44.2,34.89,28.23,70.14
+27,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-12-29,42.69,59.73,28.55,27.74
+28,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-12-29,41.6,54.13,35.21,27.61
 29,QQMM-embed-v3,8.29,2025-12-30,36.1,78.21,0.0,0.0
 30,"<a href=""https://github.com/QQ-MM/QQMM-embed"">QQMM-embed-v2</a>",8.29,2025-09-15,34.74,75.28,0.0,0.0
 31,UniVec-CoT-7B,8.29,unknown,34.2,74.11,0.0,0.0

rankings/mmeb_ranking.jsonl

@@ -17,15 +17,15 @@
 {"Rank":17,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-7B<\/a>","Model Size(B)":8.03,"Date":"2025-07-06","Overall":60.63,"Image-Overall":67.56,"Video-Overall":42.4,"Visdoc-Overall":63.92}
 {"Rank":18,"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/UME-R1-2B\">UME-R1-2B<\/a>","Model Size(B)":2.21,"Date":"2025-10-20","Overall":60.11,"Image-Overall":66.56,"Video-Overall":42.23,"Visdoc-Overall":63.86}
 {"Rank":19,"Models":"<a href=\"https:\/\/github.com\/GaryGuTC\/UniME-v2\">UniME-V2-LLaVA-OneVision-7B<\/a>","Model Size(B)":8.03,"Date":"2025-10-15","Overall":59.56,"Image-Overall":71.77,"Video-Overall":39.01,"Visdoc-Overall":56.68}
-{"Rank":20,"Models":"<a href=\"https:\/\/huggingface.co\/VLM2Vec\/VLM2Vec-V2.0\">VLM2Vec-V2.0-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Overall":58.02,"Image-Overall":64.85,"Video-Overall":34.58,"Visdoc-Overall":65.36}
-{"Rank":21,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Overall":57.83,"Image-Overall":55.95,"Video-Overall":38.43,"Visdoc-Overall":75.18}
-{"Rank":22,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Overall":54.08,"Image-Overall":51.89,"Video-Overall":33.64,"Visdoc-Overall":72.71}
-{"Rank":23,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-7B\">VLM2Vec-V1-Qwen2VL-7B<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Overall":52.29,"Image-Overall":65.49,"Video-Overall":33.72,"Visdoc-Overall":46.43}
-{"Rank":24,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-0.5B<\/a>","Model Size(B)":0.894,"Date":"2025-07-06","Overall":49.68,"Image-Overall":55.43,"Video-Overall":35.87,"Visdoc-Overall":51.41}
-{"Rank":25,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret-Qwen2.5VL-7b\">LamRA-Ret-Qwen2.5VL-7b<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Overall":47.41,"Image-Overall":52.43,"Video-Overall":33.6,"Visdoc-Overall":50.24}
-{"Rank":26,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-2B\">VLM2Vec-V1-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Overall":46.96,"Image-Overall":59.74,"Video-Overall":28.61,"Visdoc-Overall":41.55}
-{"Rank":27,"Models":"<a href=\"https:\/\/huggingface.co\/vidore\/colpali-v1.3\">colpali-v1.3<\/a>","Model Size(B)":2.92,"Date":"2025-06-28","Overall":44.44,"Image-Overall":34.89,"Video-Overall":28.17,"Visdoc-Overall":70.97}
-{"Rank":28,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret\">LamRA-Ret<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Overall":40.38,"Image-Overall":54.08,"Video-Overall":34.95,"Visdoc-Overall":23.91}
+{"Rank":20,"Models":"<a href=\"https:\/\/huggingface.co\/VLM2Vec\/VLM2Vec-V2.0\">VLM2Vec-V2.0-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Overall":57.49,"Image-Overall":64.92,"Video-Overall":34.67,"Visdoc-Overall":63.47}
+{"Rank":21,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Overall":57.32,"Image-Overall":55.93,"Video-Overall":38.43,"Visdoc-Overall":73.58}
+{"Rank":22,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Overall":53.65,"Image-Overall":51.87,"Video-Overall":33.59,"Visdoc-Overall":71.35}
+{"Rank":23,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-0.5B<\/a>","Model Size(B)":0.894,"Date":"2025-07-06","Overall":49.68,"Image-Overall":55.43,"Video-Overall":35.87,"Visdoc-Overall":51.41}
+{"Rank":24,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-7B\">VLM2Vec-V1-Qwen2VL-7B<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Overall":47.0,"Image-Overall":65.37,"Video-Overall":33.79,"Visdoc-Overall":29.34}
+{"Rank":25,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret-Qwen2.5VL-7b\">LamRA-Ret-Qwen2.5VL-7b<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Overall":46.82,"Image-Overall":52.54,"Video-Overall":33.83,"Visdoc-Overall":47.99}
+{"Rank":26,"Models":"colpali-v1.3","Model Size(B)":"unknown","Date":"2025-12-29","Overall":44.2,"Image-Overall":34.89,"Video-Overall":28.23,"Visdoc-Overall":70.14}
+{"Rank":27,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-2B\">VLM2Vec-V1-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Overall":42.69,"Image-Overall":59.73,"Video-Overall":28.55,"Visdoc-Overall":27.74}
+{"Rank":28,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret\">LamRA-Ret<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Overall":41.6,"Image-Overall":54.13,"Video-Overall":35.21,"Visdoc-Overall":27.61}
 {"Rank":29,"Models":"QQMM-embed-v3","Model Size(B)":8.29,"Date":"2025-12-30","Overall":36.1,"Image-Overall":78.21,"Video-Overall":0.0,"Visdoc-Overall":0.0}
 {"Rank":30,"Models":"<a href=\"https:\/\/github.com\/QQ-MM\/QQMM-embed\">QQMM-embed-v2<\/a>","Model Size(B)":8.29,"Date":"2025-09-15","Overall":34.74,"Image-Overall":75.28,"Video-Overall":0.0,"Visdoc-Overall":0.0}
 {"Rank":31,"Models":"UniVec-CoT-7B","Model Size(B)":8.29,"Date":"unknown","Overall":34.2,"Image-Overall":74.11,"Video-Overall":0.0,"Visdoc-Overall":0.0}

rankings/video_ranking.csv

@@ -18,26 +18,26 @@ Rank,Models,Model Size(B),Date,Video-Overall,V-CLS,V-QA,V-RET,V-MRET,K700,UCF101
 17,"<a href=""https://huggingface.co/zhibinlan/UME-R1-2B"">UME-R1-2B</a>",2.21,2025-10-20,42.23,44.32,50.95,32.93,39.7,35.8,67.2,54.4,44.1,20.09,41.67,49.88,59.98,45.4,57.8,34.3,55.37,32.37,29.88,12.71,57.53,20.36,41.22
 18,"<a href=""https://huggingface.co/Haon-Chen/e5-omni-3B"">e5-omni-3B</a>",3.0,2026-01-09,40.63,40.2,48.54,33.14,40.67,41.9,58.0,42.2,34.4,24.48,43.63,45.32,54.37,36.6,62.8,36.0,52.69,34.76,28.58,13.68,62.6,18.16,41.26
 19,"<a href=""https://github.com/GaryGuTC/UniME-v2"">UniME-V2-LLaVA-OneVision-7B</a>",8.03,2025-10-15,39.01,37.16,50.59,28.93,39.59,38.0,61.8,42.8,25.2,18.01,35.78,42.2,58.76,51.6,64.6,27.6,57.46,31.47,22.51,5.6,56.79,29.99,32.0
-20,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-06-28,38.43,37.44,50.35,28.37,36.96,39.7,54.7,47.9,30.6,14.32,39.19,46.62,53.55,46.8,65.6,31.8,49.7,26.39,24.88,9.09,59.46,14.03,37.39
+20,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-12-29,38.43,37.27,50.28,28.26,37.53,39.6,54.4,48.0,30.5,13.86,39.19,46.3,53.51,46.4,66.0,31.8,49.55,26.29,24.74,8.93,59.37,13.89,39.33
 21,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-0.5B</a>",0.894,2025-07-06,35.87,33.9,41.72,29.69,39.69,33.6,47.2,40.5,25.8,22.4,36.11,39.35,38.36,26.2,68.6,33.0,51.19,30.48,25.48,8.3,56.14,23.11,39.83
-22,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-06-28,34.95,39.27,42.6,24.26,32.84,42.3,60.4,40.5,36.3,16.86,34.07,37.2,43.72,44.8,53.2,22.1,46.12,24.8,19.14,9.15,53.83,10.87,33.83
-23,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-06-28,34.58,39.3,34.32,28.77,36.82,38.0,60.0,40.9,42.8,14.78,30.7,33.7,20.92,34.0,52.3,28.3,48.06,30.38,26.46,10.63,49.4,20.22,40.83
-24,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-06-28,33.72,39.08,29.96,29.0,38.93,35.5,61.8,42.2,32.1,23.79,27.81,28.48,20.29,21.8,51.4,34.5,46.72,29.28,25.52,9.0,57.71,19.81,39.28
-25,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-06-28,33.64,34.91,42.0,25.56,31.07,35.2,52.4,43.4,29.9,13.63,34.26,37.45,39.49,40.8,58.0,27.3,47.61,22.01,22.96,7.9,43.58,14.86,34.78
-26,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-06-28,33.6,32.86,42.63,23.18,37.16,32.1,53.0,33.8,25.3,20.09,35.11,37.62,44.93,47.0,48.5,25.0,41.94,22.81,18.65,7.52,60.85,18.84,31.78
-27,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-06-28,28.61,33.4,30.53,20.61,30.75,31.4,57.5,33.8,30.9,13.39,26.89,30.45,20.29,25.4,49.6,25.2,38.21,19.42,16.15,4.09,44.23,13.62,34.39
-28,"<a href=""https://huggingface.co/vidore/colpali-v1.3"">colpali-v1.3</a>",2.92,2025-06-28,28.17,26.71,37.84,21.56,25.52,23.4,49.4,24.8,25.1,10.85,30.59,33.7,35.21,38.4,51.3,17.6,45.37,22.81,16.68,5.32,19.94,29.02,27.61
-29,dp-embedding-v3-lite,8.29,2025-12-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-30,Taichu-UniRetriever-v1-2B,2.13,2026-01-06,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-31,Taichu-UniRetriever-8B,8.77,2026-01-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-32,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-2B</a>",2.21,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-33,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-3B</a>",3.75,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-34,TCE-v1,8.0,2025-10-31,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-35,UniVec-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-36,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-7B</a>",8.29,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-37,ReCo-7B,8.29,2025-08-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-38,OEmbedding-v1-7B,8.29,2025-10-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-39,UniVec-CoT-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-40,"<a href=""https://github.com/QQ-MM/QQMM-embed"">QQMM-embed-v2</a>",8.29,2025-09-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-41,QQMM-embed-v3,8.29,2025-12-30,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+22,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-12-29,35.21,39.41,42.74,24.47,33.58,42.3,60.7,40.4,36.1,17.55,34.07,37.33,43.69,44.8,53.8,22.6,46.42,25.0,19.09,9.25,53.92,10.87,35.96
+23,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-12-29,34.67,39.24,34.66,28.37,37.55,38.2,60.0,40.2,43.0,14.78,30.81,33.62,20.88,35.0,53.0,27.8,47.31,29.98,26.15,10.63,49.68,20.08,42.88
+24,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-12-29,33.83,32.61,42.7,23.68,37.97,32.2,51.1,34.4,25.5,19.86,35.33,37.5,44.99,47.2,48.5,25.9,42.84,23.71,18.29,7.64,61.59,18.98,33.33
+25,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-12-29,33.79,38.99,30.09,29.08,39.16,35.4,62.1,41.9,32.0,23.56,28.04,28.55,20.28,22.2,51.4,34.7,46.72,29.58,25.37,9.03,57.89,18.57,41.01
+26,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-12-29,33.59,34.75,41.75,25.35,31.8,34.9,52.1,43.0,30.1,13.63,33.96,37.57,39.4,40.6,57.2,27.0,47.31,21.51,23.05,7.9,43.95,14.31,37.14
+27,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-12-29,28.55,33.27,30.66,20.45,30.66,31.0,57.6,34.0,30.8,12.93,27.07,30.53,20.2,25.6,49.9,25.6,37.46,19.12,15.68,4.37,43.67,12.93,35.39
+28,colpali-v1.3,unknown,2025-12-29,28.23,26.63,37.82,21.48,26.16,23.3,49.3,24.8,24.9,10.85,30.59,33.58,35.15,38.4,51.4,17.7,45.37,22.51,16.68,5.16,20.13,29.02,29.34
+29,QQMM-embed-v3,8.29,2025-12-30,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+30,"<a href=""https://github.com/QQ-MM/QQMM-embed"">QQMM-embed-v2</a>",8.29,2025-09-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+31,UniVec-CoT-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+32,OEmbedding-v1-7B,8.29,2025-10-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+33,ReCo-7B,8.29,2025-08-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+34,UniVec-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+35,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-7B</a>",8.29,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+36,dp-embedding-v3-lite,8.29,2025-12-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+37,TCE-v1,8.0,2025-10-31,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+38,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-3B</a>",3.75,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+39,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-2B</a>",2.21,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+40,Taichu-UniRetriever-8B,8.77,2026-01-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
+41,Taichu-UniRetriever-v1-2B,2.13,2026-01-06,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
 42,TCR,8.77,2026-01-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0

rankings/video_ranking.jsonl

@@ -17,26 +17,26 @@
 {"Rank":17,"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/UME-R1-2B\">UME-R1-2B<\/a>","Model Size(B)":2.21,"Date":"2025-10-20","Video-Overall":42.23,"V-CLS":44.32,"V-QA":50.95,"V-RET":32.93,"V-MRET":39.7,"K700":35.8,"UCF101":67.2,"HMDB51":54.4,"SmthSmthV2":44.1,"Breakfast":20.09,"Video-MME":41.67,"MVBench":49.88,"NExTQA":59.98,"EgoSchema":45.4,"ActivityNetQA":57.8,"MSR-VTT":34.3,"MSVD":55.37,"DiDeMo":32.37,"VATEX":29.88,"YouCook2":12.71,"QVHighlight":57.53,"Charades-STA":20.36,"MomentSeeker":41.22}
 {"Rank":18,"Models":"<a href=\"https:\/\/huggingface.co\/Haon-Chen\/e5-omni-3B\">e5-omni-3B<\/a>","Model Size(B)":3.0,"Date":"2026-01-09","Video-Overall":40.63,"V-CLS":40.2,"V-QA":48.54,"V-RET":33.14,"V-MRET":40.67,"K700":41.9,"UCF101":58.0,"HMDB51":42.2,"SmthSmthV2":34.4,"Breakfast":24.48,"Video-MME":43.63,"MVBench":45.32,"NExTQA":54.37,"EgoSchema":36.6,"ActivityNetQA":62.8,"MSR-VTT":36.0,"MSVD":52.69,"DiDeMo":34.76,"VATEX":28.58,"YouCook2":13.68,"QVHighlight":62.6,"Charades-STA":18.16,"MomentSeeker":41.26}
 {"Rank":19,"Models":"<a href=\"https:\/\/github.com\/GaryGuTC\/UniME-v2\">UniME-V2-LLaVA-OneVision-7B<\/a>","Model Size(B)":8.03,"Date":"2025-10-15","Video-Overall":39.01,"V-CLS":37.16,"V-QA":50.59,"V-RET":28.93,"V-MRET":39.59,"K700":38.0,"UCF101":61.8,"HMDB51":42.8,"SmthSmthV2":25.2,"Breakfast":18.01,"Video-MME":35.78,"MVBench":42.2,"NExTQA":58.76,"EgoSchema":51.6,"ActivityNetQA":64.6,"MSR-VTT":27.6,"MSVD":57.46,"DiDeMo":31.47,"VATEX":22.51,"YouCook2":5.6,"QVHighlight":56.79,"Charades-STA":29.99,"MomentSeeker":32.0}
-{"Rank":20,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Video-Overall":38.43,"V-CLS":37.44,"V-QA":50.35,"V-RET":28.37,"V-MRET":36.96,"K700":39.7,"UCF101":54.7,"HMDB51":47.9,"SmthSmthV2":30.6,"Breakfast":14.32,"Video-MME":39.19,"MVBench":46.62,"NExTQA":53.55,"EgoSchema":46.8,"ActivityNetQA":65.6,"MSR-VTT":31.8,"MSVD":49.7,"DiDeMo":26.39,"VATEX":24.88,"YouCook2":9.09,"QVHighlight":59.46,"Charades-STA":14.03,"MomentSeeker":37.39}
+{"Rank":20,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Video-Overall":38.43,"V-CLS":37.27,"V-QA":50.28,"V-RET":28.26,"V-MRET":37.53,"K700":39.6,"UCF101":54.4,"HMDB51":48.0,"SmthSmthV2":30.5,"Breakfast":13.86,"Video-MME":39.19,"MVBench":46.3,"NExTQA":53.51,"EgoSchema":46.4,"ActivityNetQA":66.0,"MSR-VTT":31.8,"MSVD":49.55,"DiDeMo":26.29,"VATEX":24.74,"YouCook2":8.93,"QVHighlight":59.37,"Charades-STA":13.89,"MomentSeeker":39.33}
 {"Rank":21,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-0.5B<\/a>","Model Size(B)":0.894,"Date":"2025-07-06","Video-Overall":35.87,"V-CLS":33.9,"V-QA":41.72,"V-RET":29.69,"V-MRET":39.69,"K700":33.6,"UCF101":47.2,"HMDB51":40.5,"SmthSmthV2":25.8,"Breakfast":22.4,"Video-MME":36.11,"MVBench":39.35,"NExTQA":38.36,"EgoSchema":26.2,"ActivityNetQA":68.6,"MSR-VTT":33.0,"MSVD":51.19,"DiDeMo":30.48,"VATEX":25.48,"YouCook2":8.3,"QVHighlight":56.14,"Charades-STA":23.11,"MomentSeeker":39.83}
-{"Rank":22,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret\">LamRA-Ret<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Video-Overall":34.95,"V-CLS":39.27,"V-QA":42.6,"V-RET":24.26,"V-MRET":32.84,"K700":42.3,"UCF101":60.4,"HMDB51":40.5,"SmthSmthV2":36.3,"Breakfast":16.86,"Video-MME":34.07,"MVBench":37.2,"NExTQA":43.72,"EgoSchema":44.8,"ActivityNetQA":53.2,"MSR-VTT":22.1,"MSVD":46.12,"DiDeMo":24.8,"VATEX":19.14,"YouCook2":9.15,"QVHighlight":53.83,"Charades-STA":10.87,"MomentSeeker":33.83}
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+{"Rank":33,"Models":"ReCo-7B","Model Size(B)":8.29,"Date":"2025-08-15","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":34,"Models":"UniVec-7B","Model Size(B)":8.29,"Date":"unknown","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":35,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2511.19278\">ReMatch-7B<\/a>","Model Size(B)":8.29,"Date":"2025-11-24","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":36,"Models":"dp-embedding-v3-lite","Model Size(B)":8.29,"Date":"2025-12-15","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":37,"Models":"TCE-v1","Model Size(B)":8.0,"Date":"2025-10-31","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":38,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2511.19278\">ReMatch-3B<\/a>","Model Size(B)":3.75,"Date":"2025-11-24","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":39,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2511.19278\">ReMatch-2B<\/a>","Model Size(B)":2.21,"Date":"2025-11-24","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":40,"Models":"Taichu-UniRetriever-8B","Model Size(B)":8.77,"Date":"2026-01-15","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
+{"Rank":41,"Models":"Taichu-UniRetriever-v1-2B","Model Size(B)":2.13,"Date":"2026-01-06","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}
 {"Rank":42,"Models":"TCR","Model Size(B)":8.77,"Date":"2026-01-15","Video-Overall":0.0,"V-CLS":0.0,"V-QA":0.0,"V-RET":0.0,"V-MRET":0.0,"K700":0.0,"UCF101":0.0,"HMDB51":0.0,"SmthSmthV2":0.0,"Breakfast":0.0,"Video-MME":0.0,"MVBench":0.0,"NExTQA":0.0,"EgoSchema":0.0,"ActivityNetQA":0.0,"MSR-VTT":0.0,"MSVD":0.0,"DiDeMo":0.0,"VATEX":0.0,"YouCook2":0.0,"QVHighlight":0.0,"Charades-STA":0.0,"MomentSeeker":0.0}

rankings/visdoc_ranking.csv

@@ -9,35 +9,35 @@ Rank,Models,Model Size(B),Date,Visdoc-Overall,ViDoRe-V1,ViDoRe-V2,VisRAG,VisDoc-
 8,RzenEmbed-v1-7B,8.29,2025-07-30,76.8,89.47,60.77,87.92,44.44,86.89,57.99,92.24,96.25,75.22,93.35,99.63,95.25,98.28,99.63,63.67,61.58,60.8,57.05,86.97,88.34,90.7,95.75,94.37,71.39,Attention! Please fix this score!,83.92,Attention! Please fix this score!,54.67,23.06,16.1
 9,Taichu-UniRetriever-v1-2B,2.13,2026-01-06,76.66,89.81,57.34,88.79,44.92,88.14,59.09,92.63,96.67,80.07,89.93,99.26,98.06,95.93,98.32,63.6,62.47,51.21,52.08,87.25,87.33,91.99,96.93,95.9,73.32,Attention! Please fix this score!,85.07,Attention! Please fix this score!,57.19,20.92,16.49
 10,"<a href=""https://huggingface.co/Haon-Chen/e5-omni-7B"">e5-omni-7B</a>",8.0,2026-01-09,76.14,87.58,62.39,87.46,44.33,87.57,57.96,92.29,93.19,70.9,85.79,98.15,94.95,96.28,98.69,64.03,64.48,60.34,60.71,88.02,89.02,89.07,95.99,93.54,69.15,Attention! Please fix this score!,83.44,Attention! Please fix this score!,54.98,23.11,15.78
-11,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-06-28,75.18,89.44,55.61,84.99,44.4,86.86,57.46,91.6,94.64,74.1,96.76,99.63,95.32,98.76,99.26,63.37,49.49,54.21,55.38,87.35,81.9,89.22,94.54,93.52,63.42,Attention! Please fix this score!,83.88,Attention! Please fix this score!,54.29,23.24,16.19
-12,WeMM-Embedding-2B,2.13,2025-12-16,74.81,87.22,53.4,88.84,44.15,90.25,59.11,91.2,89.41,73.81,82.61,98.15,94.08,95.35,98.28,54.54,55.64,53.93,49.5,88.62,88.61,91.01,95.83,93.74,75.23,Attention! Please fix this score!,83.14,Attention! Please fix this score!,54.65,22.27,16.53
-13,RzenEmbed-v1-2B,2.21,2025-07-16,74.41,86.98,57.63,85.35,43.33,83.4,56.09,89.89,94.39,69.32,89.88,98.76,92.78,97.19,98.15,58.93,59.87,57.98,53.73,83.68,86.39,85.54,94.07,91.92,70.52,Attention! Please fix this score!,82.27,Attention! Please fix this score!,51.95,22.89,16.21
+11,WeMM-Embedding-2B,2.13,2025-12-16,74.81,87.22,53.4,88.84,44.15,90.25,59.11,91.2,89.41,73.81,82.61,98.15,94.08,95.35,98.28,54.54,55.64,53.93,49.5,88.62,88.61,91.01,95.83,93.74,75.23,Attention! Please fix this score!,83.14,Attention! Please fix this score!,54.65,22.27,16.53
+12,RzenEmbed-v1-2B,2.21,2025-07-16,74.41,86.98,57.63,85.35,43.33,83.4,56.09,89.89,94.39,69.32,89.88,98.76,92.78,97.19,98.15,58.93,59.87,57.98,53.73,83.68,86.39,85.54,94.07,91.92,70.52,Attention! Please fix this score!,82.27,Attention! Please fix this score!,51.95,22.89,16.21
+13,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-7B-Instruct"">gme-Qwen2-VL-7B-Instruct</a>",8.29,2025-12-29,73.58,89.55,55.47,84.95,34.72,87.53,56.59,92.17,92.71,76.58,95.64,99.63,95.69,99.5,99.5,62.76,49.78,53.91,55.43,87.69,81.29,89.08,94.72,93.49,63.44,83.57,0.0,55.32,0.0,,
 14,"<a href=""https://seed1-6-embedding.github.io"">seed-1.6-embedding</a>",unknown,2025-06-17,73.44,85.53,56.57,84.74,43.14,88.46,60.36,90.62,87.82,74.98,73.34,96.32,92.83,93.54,97.05,63.3,57.14,53.85,51.99,85.79,81.88,89.43,94.9,92.41,64.02,Attention! Please fix this score!,82.57,Attention! Please fix this score!,51.61,22.8,15.57
 15,"<a href=""https://huggingface.co/Haon-Chen/e5-omni-3B"">e5-omni-3B</a>",3.0,2026-01-09,73.16,83.13,59.53,85.48,43.38,82.2,51.99,88.88,88.86,58.78,80.14,98.15,93.17,93.21,95.92,61.84,60.92,64.39,50.97,84.52,86.75,85.51,95.4,92.55,68.17,Attention! Please fix this score!,83.29,Attention! Please fix this score!,52.85,22.38,15.0
 16,Crotchet-embedding-2B,2.13,2025-12-31,72.87,78.16,53.28,82.21,65.19,84.34,42.93,85.18,93.29,53.04,71.02,90.74,85.07,85.45,90.59,62.65,46.92,51.47,52.09,81.64,85.47,76.0,90.85,88.54,70.74,Attention! Please fix this score!,81.84,Attention! Please fix this score!,49.18,78.36,51.39
-17,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-06-28,72.71,86.15,53.96,82.52,43.12,82.76,53.11,90.16,93.33,69.94,89.47,97.52,91.91,94.59,98.69,60.95,53.98,50.19,50.73,82.0,79.88,84.42,93.38,91.36,64.09,Attention! Please fix this score!,83.62,Attention! Please fix this score!,51.43,21.62,15.82
-18,"<a href=""https://huggingface.co/vidore/colpali-v1.3"">colpali-v1.3</a>",2.92,2025-06-28,70.97,83.6,51.98,81.13,43.12,81.74,56.64,84.94,86.93,70.87,75.12,95.65,94.67,93.55,95.92,51.29,54.72,48.97,52.94,80.87,78.15,86.76,95.03,85.69,60.3,Attention! Please fix this score!,83.66,Attention! Please fix this score!,52.51,22.16,14.17
-19,"<a href=""https://huggingface.co/OpenSearch-AI/Ops-MM-embedding-v1-7B"">Ops-MM-embedding-v1-7B</a>",8.29,2025-07-02,70.34,80.05,59.59,79.31,43.34,78.17,49.11,86.59,91.4,55.59,76.17,90.99,87.53,91.56,93.39,66.27,54.34,60.92,56.82,78.18,79.53,78.2,91.11,87.16,61.71,Attention! Please fix this score!,83.47,Attention! Please fix this score!,51.51,22.47,15.89
+17,"<a href=""https://huggingface.co/Alibaba-NLP/gme-Qwen2-VL-2B-Instruct"">gme-Qwen2-VL-2B-Instruct</a>",2.21,2025-12-29,71.35,87.12,53.88,82.43,32.78,82.53,55.16,90.69,93.31,70.26,92.85,98.13,92.56,97.15,98.52,60.29,53.99,50.8,50.43,81.95,79.09,84.34,93.68,91.41,64.12,79.81,0.0,51.32,0.0,,
+18,"<a href=""https://huggingface.co/OpenSearch-AI/Ops-MM-embedding-v1-7B"">Ops-MM-embedding-v1-7B</a>",8.29,2025-07-02,70.34,80.05,59.59,79.31,43.34,78.17,49.11,86.59,91.4,55.59,76.17,90.99,87.53,91.56,93.39,66.27,54.34,60.92,56.82,78.18,79.53,78.2,91.11,87.16,61.71,Attention! Please fix this score!,83.47,Attention! Please fix this score!,51.51,22.47,15.89
+19,colpali-v1.3,unknown,2025-12-29,70.14,84.57,54.81,81.0,33.1,83.33,59.2,85.38,86.63,70.47,76.83,96.26,95.02,95.59,97.02,57.25,56.25,50.2,55.56,80.9,77.04,87.03,95.13,85.73,60.18,79.22,0.0,53.18,0.0,,
 20,"<a href=""https://huggingface.co/zhibinlan/UME-R1-7B"">UME-R1-7B</a>",8.29,2025-10-20,67.13,75.66,50.53,83.7,37.55,73.56,41.1,80.83,90.24,46.67,64.96,89.47,85.7,89.82,94.29,50.41,50.73,57.8,43.18,80.45,84.95,83.43,91.47,89.2,72.7,Attention! Please fix this score!,75.33,Attention! Please fix this score!,41.28,21.28,12.32
 21,"<a href=""https://huggingface.co/OpenSearch-AI/Ops-MM-embedding-v1-2B"">Ops-MM-embedding-v1-2B</a>",2.21,2025-07-02,66.96,76.39,53.18,77.64,41.17,73.72,45.01,81.41,88.81,49.59,72.57,89.8,84.27,87.06,91.64,58.57,52.87,47.89,53.39,73.84,80.17,75.06,89.15,86.66,60.99,Attention! Please fix this score!,82.29,Attention! Please fix this score!,47.89,21.44,13.06
-22,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-06-28,65.36,75.52,44.86,79.38,39.43,80.58,44.85,83.69,89.21,43.82,60.82,88.53,86.51,85.01,92.17,45.56,44.27,43.0,46.62,76.87,84.41,71.79,91.5,85.65,66.05,Attention! Please fix this score!,80.18,Attention! Please fix this score!,43.71,21.94,11.89
-23,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-7B</a>",8.03,2025-07-06,63.92,70.68,49.57,79.45,38.07,73.29,38.27,80.59,80.7,37.79,52.02,85.99,84.78,84.96,88.37,50.67,50.89,54.38,42.33,73.96,82.71,75.15,87.58,87.91,69.42,Attention! Please fix this score!,73.82,Attention! Please fix this score!,42.61,22.52,13.32
-24,"<a href=""https://huggingface.co/zhibinlan/UME-R1-2B"">UME-R1-2B</a>",2.21,2025-10-20,63.86,72.39,46.16,79.22,37.17,73.86,37.85,76.19,86.11,40.63,66.79,85.87,83.25,82.56,90.83,50.16,46.15,45.69,42.65,74.26,85.98,75.59,87.11,84.38,67.98,Attention! Please fix this score!,75.89,Attention! Please fix this score!,39.68,21.2,11.9
+22,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-7B</a>",8.03,2025-07-06,63.92,70.68,49.57,79.45,38.07,73.29,38.27,80.59,80.7,37.79,52.02,85.99,84.78,84.96,88.37,50.67,50.89,54.38,42.33,73.96,82.71,75.15,87.58,87.91,69.42,Attention! Please fix this score!,73.82,Attention! Please fix this score!,42.61,22.52,13.32
+23,"<a href=""https://huggingface.co/zhibinlan/UME-R1-2B"">UME-R1-2B</a>",2.21,2025-10-20,63.86,72.39,46.16,79.22,37.17,73.86,37.85,76.19,86.11,40.63,66.79,85.87,83.25,82.56,90.83,50.16,46.15,45.69,42.65,74.26,85.98,75.59,87.11,84.38,67.98,Attention! Please fix this score!,75.89,Attention! Please fix this score!,39.68,21.2,11.9
+24,"<a href=""https://huggingface.co/VLM2Vec/VLM2Vec-V2.0"">VLM2Vec-V2.0-Qwen2VL-2B</a>",2.21,2025-12-29,63.47,74.39,44.61,79.33,31.25,78.87,37.06,82.71,87.77,44.29,61.04,89.12,86.29,85.58,91.13,45.79,44.59,42.33,45.74,76.74,84.2,71.8,91.44,85.88,65.91,80.3,0.0,44.7,0.0,,
 25,"<a href=""https://github.com/GaryGuTC/UniME-v2"">UniME-V2-LLaVA-OneVision-7B</a>",8.03,2025-10-15,56.68,61.76,42.0,70.53,37.86,51.9,38.17,73.16,57.75,35.48,45.42,76.85,77.27,79.87,81.71,54.67,33.75,35.95,43.63,53.13,83.67,66.4,86.44,82.58,50.96,Attention! Please fix this score!,75.79,Attention! Please fix this score!,40.8,22.89,11.96
 26,"<a href=""https://arxiv.org/abs/2503.19900"">interestFM-UIR-CAFe-0.5B</a>",0.894,2025-07-06,51.41,56.93,32.59,68.57,30.69,51.19,25.46,71.95,59.64,27.05,31.8,78.74,70.75,75.47,77.29,36.24,29.72,37.61,26.78,57.82,75.62,63.24,82.32,80.28,52.14,Attention! Please fix this score!,61.41,Attention! Please fix this score!,33.78,17.62,9.95
-27,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-06-28,50.24,56.31,33.32,58.18,40.09,52.98,25.42,72.31,66.08,25.85,27.34,72.01,65.17,72.15,83.75,32.95,35.87,31.94,32.51,37.68,65.9,54.52,76.54,73.26,41.2,Attention! Please fix this score!,80.26,Attention! Please fix this score!,43.54,23.05,13.52
-28,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-06-28,46.43,56.95,9.41,59.12,38.09,60.2,34.71,70.38,78.18,27.62,38.62,67.65,60.42,61.82,69.85,6.82,5.06,13.88,11.89,52.61,70.23,52.81,72.77,71.96,34.35,Attention! Please fix this score!,77.81,Attention! Please fix this score!,40.46,22.28,11.82
-29,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-06-28,41.55,49.81,13.51,51.83,33.55,48.88,26.95,67.24,62.58,19.79,41.8,55.02,59.11,57.07,59.64,12.6,7.4,13.9,20.13,41.75,57.93,43.18,74.03,70.67,23.4,Attention! Please fix this score!,74.28,Attention! Please fix this score!,32.57,17.74,9.6
-30,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-06-28,23.91,21.99,11.46,37.35,20.99,10.8,19.13,46.25,42.84,11.43,12.04,10.32,24.77,16.36,25.94,7.58,13.28,19.08,5.92,2.02,41.34,33.38,56.49,56.34,34.55,Attention! Please fix this score!,37.14,Attention! Please fix this score!,27.58,11.29,7.95
-31,dp-embedding-v3-lite,8.29,2025-12-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-32,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-2B</a>",2.21,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-33,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-3B</a>",3.75,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-34,TCE-v1,8.0,2025-10-31,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-35,"<a href=""https://github.com/QQ-MM/QQMM-embed"">QQMM-embed-v2</a>",8.29,2025-09-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-36,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-7B</a>",8.29,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-37,UniVec-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-38,ReCo-7B,8.29,2025-08-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-39,OEmbedding-v1-7B,8.29,2025-10-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-40,UniVec-CoT-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-41,QQMM-embed-v3,8.29,2025-12-30,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
-42,TCR,8.77,2026-01-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,Attention! Please fix this score!,0.0,Attention! Please fix this score!,0.0,0.0,0.0
+27,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret-Qwen2.5VL-7b"">LamRA-Ret-Qwen2.5VL-7b</a>",8.29,2025-12-29,47.99,56.4,33.62,58.15,26.09,53.04,25.42,72.19,66.51,26.01,28.13,70.31,66.33,72.21,83.8,32.98,35.87,32.37,33.26,38.03,65.21,54.14,76.55,73.5,41.46,68.54,0.0,35.83,0.0,,
+28,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-7B"">VLM2Vec-V1-Qwen2VL-7B</a>",8.29,2025-12-29,29.34,19.99,9.24,58.85,28.54,28.16,18.98,44.77,16.98,5.73,1.63,18.23,23.9,13.88,27.61,6.95,5.22,13.75,11.05,52.85,68.96,52.74,72.76,71.3,34.52,77.4,0.0,36.76,0.0,,
+29,"<a href=""https://huggingface.co/TIGER-Lab/VLM2Vec-Qwen2VL-2B"">VLM2Vec-V1-Qwen2VL-2B</a>",2.21,2025-12-29,27.74,20.59,13.19,52.23,23.46,18.12,14.01,39.53,36.03,10.49,8.41,17.04,16.35,25.15,20.79,13.05,6.51,12.86,20.32,41.22,59.48,43.55,74.5,71.1,23.51,67.81,0.0,26.04,0.0,,
+30,"<a href=""https://huggingface.co/code-kunkun/LamRA-Ret"">LamRA-Ret</a>",8.29,2025-12-29,27.61,33.83,11.53,37.56,13.19,31.54,19.85,63.67,53.47,7.88,15.95,29.83,36.05,41.18,38.83,6.91,13.42,19.37,6.43,2.04,42.74,33.37,56.3,56.86,34.06,34.48,0.0,18.29,0.0,,
+31,dp-embedding-v3-lite,8.29,2025-12-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+32,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-2B</a>",2.21,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+33,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-3B</a>",3.75,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+34,TCE-v1,8.0,2025-10-31,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+35,"<a href=""https://github.com/QQ-MM/QQMM-embed"">QQMM-embed-v2</a>",8.29,2025-09-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+36,"<a href=""https://arxiv.org/abs/2511.19278"">ReMatch-7B</a>",8.29,2025-11-24,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+37,UniVec-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+38,ReCo-7B,8.29,2025-08-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+39,OEmbedding-v1-7B,8.29,2025-10-14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+40,UniVec-CoT-7B,8.29,unknown,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+41,QQMM-embed-v3,8.29,2025-12-30,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,
+42,TCR,8.77,2026-01-15,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,,

rankings/visdoc_ranking.jsonl

@@ -8,35 +8,35 @@
 {"Rank":8,"Models":"RzenEmbed-v1-7B","Model Size(B)":8.29,"Date":"2025-07-30","Visdoc-Overall":76.8,"ViDoRe-V1":89.47,"ViDoRe-V2":60.77,"VisRAG":87.92,"VisDoc-OOD":44.44,"ViDoRe_arxivqa":86.89,"ViDoRe_docvqa":57.99,"ViDoRe_infovqa":92.24,"ViDoRe_tabfquad":96.25,"ViDoRe_tatdqa":75.22,"ViDoRe_shiftproject":93.35,"ViDoRe_syntheticDocQA_artificial_intelligence":99.63,"ViDoRe_syntheticDocQA_energy":95.25,"ViDoRe_syntheticDocQA_government_reports":98.28,"ViDoRe_syntheticDocQA_healthcare_industry":99.63,"ViDoRe_esg_reports_human_labeled_v2":63.67,"ViDoRe_biomedical_lectures_v2_multilingual":61.58,"ViDoRe_economics_reports_v2_multilingual":60.8,"ViDoRe_esg_reports_v2_multilingual":57.05,"VisRAG_ArxivQA":86.97,"VisRAG_ChartQA":88.34,"VisRAG_MP-DocVQA":90.7,"VisRAG_SlideVQA":95.75,"VisRAG_InfoVQA":94.37,"VisRAG_PlotQA":71.39,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.92,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":54.67,"ViDoSeek-page-old":23.06,"MMLongBench-page-old":16.1}
 {"Rank":9,"Models":"Taichu-UniRetriever-v1-2B","Model Size(B)":2.13,"Date":"2026-01-06","Visdoc-Overall":76.66,"ViDoRe-V1":89.81,"ViDoRe-V2":57.34,"VisRAG":88.79,"VisDoc-OOD":44.92,"ViDoRe_arxivqa":88.14,"ViDoRe_docvqa":59.09,"ViDoRe_infovqa":92.63,"ViDoRe_tabfquad":96.67,"ViDoRe_tatdqa":80.07,"ViDoRe_shiftproject":89.93,"ViDoRe_syntheticDocQA_artificial_intelligence":99.26,"ViDoRe_syntheticDocQA_energy":98.06,"ViDoRe_syntheticDocQA_government_reports":95.93,"ViDoRe_syntheticDocQA_healthcare_industry":98.32,"ViDoRe_esg_reports_human_labeled_v2":63.6,"ViDoRe_biomedical_lectures_v2_multilingual":62.47,"ViDoRe_economics_reports_v2_multilingual":51.21,"ViDoRe_esg_reports_v2_multilingual":52.08,"VisRAG_ArxivQA":87.25,"VisRAG_ChartQA":87.33,"VisRAG_MP-DocVQA":91.99,"VisRAG_SlideVQA":96.93,"VisRAG_InfoVQA":95.9,"VisRAG_PlotQA":73.32,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":85.07,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":57.19,"ViDoSeek-page-old":20.92,"MMLongBench-page-old":16.49}
 {"Rank":10,"Models":"<a href=\"https:\/\/huggingface.co\/Haon-Chen\/e5-omni-7B\">e5-omni-7B<\/a>","Model Size(B)":8.0,"Date":"2026-01-09","Visdoc-Overall":76.14,"ViDoRe-V1":87.58,"ViDoRe-V2":62.39,"VisRAG":87.46,"VisDoc-OOD":44.33,"ViDoRe_arxivqa":87.57,"ViDoRe_docvqa":57.96,"ViDoRe_infovqa":92.29,"ViDoRe_tabfquad":93.19,"ViDoRe_tatdqa":70.9,"ViDoRe_shiftproject":85.79,"ViDoRe_syntheticDocQA_artificial_intelligence":98.15,"ViDoRe_syntheticDocQA_energy":94.95,"ViDoRe_syntheticDocQA_government_reports":96.28,"ViDoRe_syntheticDocQA_healthcare_industry":98.69,"ViDoRe_esg_reports_human_labeled_v2":64.03,"ViDoRe_biomedical_lectures_v2_multilingual":64.48,"ViDoRe_economics_reports_v2_multilingual":60.34,"ViDoRe_esg_reports_v2_multilingual":60.71,"VisRAG_ArxivQA":88.02,"VisRAG_ChartQA":89.02,"VisRAG_MP-DocVQA":89.07,"VisRAG_SlideVQA":95.99,"VisRAG_InfoVQA":93.54,"VisRAG_PlotQA":69.15,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.44,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":54.98,"ViDoSeek-page-old":23.11,"MMLongBench-page-old":15.78}
-{"Rank":11,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Visdoc-Overall":75.18,"ViDoRe-V1":89.44,"ViDoRe-V2":55.61,"VisRAG":84.99,"VisDoc-OOD":44.4,"ViDoRe_arxivqa":86.86,"ViDoRe_docvqa":57.46,"ViDoRe_infovqa":91.6,"ViDoRe_tabfquad":94.64,"ViDoRe_tatdqa":74.1,"ViDoRe_shiftproject":96.76,"ViDoRe_syntheticDocQA_artificial_intelligence":99.63,"ViDoRe_syntheticDocQA_energy":95.32,"ViDoRe_syntheticDocQA_government_reports":98.76,"ViDoRe_syntheticDocQA_healthcare_industry":99.26,"ViDoRe_esg_reports_human_labeled_v2":63.37,"ViDoRe_biomedical_lectures_v2_multilingual":49.49,"ViDoRe_economics_reports_v2_multilingual":54.21,"ViDoRe_esg_reports_v2_multilingual":55.38,"VisRAG_ArxivQA":87.35,"VisRAG_ChartQA":81.9,"VisRAG_MP-DocVQA":89.22,"VisRAG_SlideVQA":94.54,"VisRAG_InfoVQA":93.52,"VisRAG_PlotQA":63.42,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.88,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":54.29,"ViDoSeek-page-old":23.24,"MMLongBench-page-old":16.19}
-{"Rank":12,"Models":"WeMM-Embedding-2B","Model Size(B)":2.13,"Date":"2025-12-16","Visdoc-Overall":74.81,"ViDoRe-V1":87.22,"ViDoRe-V2":53.4,"VisRAG":88.84,"VisDoc-OOD":44.15,"ViDoRe_arxivqa":90.25,"ViDoRe_docvqa":59.11,"ViDoRe_infovqa":91.2,"ViDoRe_tabfquad":89.41,"ViDoRe_tatdqa":73.81,"ViDoRe_shiftproject":82.61,"ViDoRe_syntheticDocQA_artificial_intelligence":98.15,"ViDoRe_syntheticDocQA_energy":94.08,"ViDoRe_syntheticDocQA_government_reports":95.35,"ViDoRe_syntheticDocQA_healthcare_industry":98.28,"ViDoRe_esg_reports_human_labeled_v2":54.54,"ViDoRe_biomedical_lectures_v2_multilingual":55.64,"ViDoRe_economics_reports_v2_multilingual":53.93,"ViDoRe_esg_reports_v2_multilingual":49.5,"VisRAG_ArxivQA":88.62,"VisRAG_ChartQA":88.61,"VisRAG_MP-DocVQA":91.01,"VisRAG_SlideVQA":95.83,"VisRAG_InfoVQA":93.74,"VisRAG_PlotQA":75.23,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.14,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":54.65,"ViDoSeek-page-old":22.27,"MMLongBench-page-old":16.53}
-{"Rank":13,"Models":"RzenEmbed-v1-2B","Model Size(B)":2.21,"Date":"2025-07-16","Visdoc-Overall":74.41,"ViDoRe-V1":86.98,"ViDoRe-V2":57.63,"VisRAG":85.35,"VisDoc-OOD":43.33,"ViDoRe_arxivqa":83.4,"ViDoRe_docvqa":56.09,"ViDoRe_infovqa":89.89,"ViDoRe_tabfquad":94.39,"ViDoRe_tatdqa":69.32,"ViDoRe_shiftproject":89.88,"ViDoRe_syntheticDocQA_artificial_intelligence":98.76,"ViDoRe_syntheticDocQA_energy":92.78,"ViDoRe_syntheticDocQA_government_reports":97.19,"ViDoRe_syntheticDocQA_healthcare_industry":98.15,"ViDoRe_esg_reports_human_labeled_v2":58.93,"ViDoRe_biomedical_lectures_v2_multilingual":59.87,"ViDoRe_economics_reports_v2_multilingual":57.98,"ViDoRe_esg_reports_v2_multilingual":53.73,"VisRAG_ArxivQA":83.68,"VisRAG_ChartQA":86.39,"VisRAG_MP-DocVQA":85.54,"VisRAG_SlideVQA":94.07,"VisRAG_InfoVQA":91.92,"VisRAG_PlotQA":70.52,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":82.27,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":51.95,"ViDoSeek-page-old":22.89,"MMLongBench-page-old":16.21}
+{"Rank":11,"Models":"WeMM-Embedding-2B","Model Size(B)":2.13,"Date":"2025-12-16","Visdoc-Overall":74.81,"ViDoRe-V1":87.22,"ViDoRe-V2":53.4,"VisRAG":88.84,"VisDoc-OOD":44.15,"ViDoRe_arxivqa":90.25,"ViDoRe_docvqa":59.11,"ViDoRe_infovqa":91.2,"ViDoRe_tabfquad":89.41,"ViDoRe_tatdqa":73.81,"ViDoRe_shiftproject":82.61,"ViDoRe_syntheticDocQA_artificial_intelligence":98.15,"ViDoRe_syntheticDocQA_energy":94.08,"ViDoRe_syntheticDocQA_government_reports":95.35,"ViDoRe_syntheticDocQA_healthcare_industry":98.28,"ViDoRe_esg_reports_human_labeled_v2":54.54,"ViDoRe_biomedical_lectures_v2_multilingual":55.64,"ViDoRe_economics_reports_v2_multilingual":53.93,"ViDoRe_esg_reports_v2_multilingual":49.5,"VisRAG_ArxivQA":88.62,"VisRAG_ChartQA":88.61,"VisRAG_MP-DocVQA":91.01,"VisRAG_SlideVQA":95.83,"VisRAG_InfoVQA":93.74,"VisRAG_PlotQA":75.23,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.14,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":54.65,"ViDoSeek-page-old":22.27,"MMLongBench-page-old":16.53}
+{"Rank":12,"Models":"RzenEmbed-v1-2B","Model Size(B)":2.21,"Date":"2025-07-16","Visdoc-Overall":74.41,"ViDoRe-V1":86.98,"ViDoRe-V2":57.63,"VisRAG":85.35,"VisDoc-OOD":43.33,"ViDoRe_arxivqa":83.4,"ViDoRe_docvqa":56.09,"ViDoRe_infovqa":89.89,"ViDoRe_tabfquad":94.39,"ViDoRe_tatdqa":69.32,"ViDoRe_shiftproject":89.88,"ViDoRe_syntheticDocQA_artificial_intelligence":98.76,"ViDoRe_syntheticDocQA_energy":92.78,"ViDoRe_syntheticDocQA_government_reports":97.19,"ViDoRe_syntheticDocQA_healthcare_industry":98.15,"ViDoRe_esg_reports_human_labeled_v2":58.93,"ViDoRe_biomedical_lectures_v2_multilingual":59.87,"ViDoRe_economics_reports_v2_multilingual":57.98,"ViDoRe_esg_reports_v2_multilingual":53.73,"VisRAG_ArxivQA":83.68,"VisRAG_ChartQA":86.39,"VisRAG_MP-DocVQA":85.54,"VisRAG_SlideVQA":94.07,"VisRAG_InfoVQA":91.92,"VisRAG_PlotQA":70.52,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":82.27,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":51.95,"ViDoSeek-page-old":22.89,"MMLongBench-page-old":16.21}
+{"Rank":13,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-7B-Instruct\">gme-Qwen2-VL-7B-Instruct<\/a>","Model Size(B)":8.29,"Date":"2025-12-29","Visdoc-Overall":73.58,"ViDoRe-V1":89.55,"ViDoRe-V2":55.47,"VisRAG":84.95,"VisDoc-OOD":34.72,"ViDoRe_arxivqa":87.53,"ViDoRe_docvqa":56.59,"ViDoRe_infovqa":92.17,"ViDoRe_tabfquad":92.71,"ViDoRe_tatdqa":76.58,"ViDoRe_shiftproject":95.64,"ViDoRe_syntheticDocQA_artificial_intelligence":99.63,"ViDoRe_syntheticDocQA_energy":95.69,"ViDoRe_syntheticDocQA_government_reports":99.5,"ViDoRe_syntheticDocQA_healthcare_industry":99.5,"ViDoRe_esg_reports_human_labeled_v2":62.76,"ViDoRe_biomedical_lectures_v2_multilingual":49.78,"ViDoRe_economics_reports_v2_multilingual":53.91,"ViDoRe_esg_reports_v2_multilingual":55.43,"VisRAG_ArxivQA":87.69,"VisRAG_ChartQA":81.29,"VisRAG_MP-DocVQA":89.08,"VisRAG_SlideVQA":94.72,"VisRAG_InfoVQA":93.49,"VisRAG_PlotQA":63.44,"ViDoSeek-page":83.57,"ViDoSeek-doc":0.0,"MMLongBench-page":55.32,"MMLongBench-doc":0.0,"ViDoSeek-page-old":null,"MMLongBench-page-old":null}
 {"Rank":14,"Models":"<a href=\"https:\/\/seed1-6-embedding.github.io\">seed-1.6-embedding<\/a>","Model Size(B)":"unknown","Date":"2025-06-17","Visdoc-Overall":73.44,"ViDoRe-V1":85.53,"ViDoRe-V2":56.57,"VisRAG":84.74,"VisDoc-OOD":43.14,"ViDoRe_arxivqa":88.46,"ViDoRe_docvqa":60.36,"ViDoRe_infovqa":90.62,"ViDoRe_tabfquad":87.82,"ViDoRe_tatdqa":74.98,"ViDoRe_shiftproject":73.34,"ViDoRe_syntheticDocQA_artificial_intelligence":96.32,"ViDoRe_syntheticDocQA_energy":92.83,"ViDoRe_syntheticDocQA_government_reports":93.54,"ViDoRe_syntheticDocQA_healthcare_industry":97.05,"ViDoRe_esg_reports_human_labeled_v2":63.3,"ViDoRe_biomedical_lectures_v2_multilingual":57.14,"ViDoRe_economics_reports_v2_multilingual":53.85,"ViDoRe_esg_reports_v2_multilingual":51.99,"VisRAG_ArxivQA":85.79,"VisRAG_ChartQA":81.88,"VisRAG_MP-DocVQA":89.43,"VisRAG_SlideVQA":94.9,"VisRAG_InfoVQA":92.41,"VisRAG_PlotQA":64.02,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":82.57,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":51.61,"ViDoSeek-page-old":22.8,"MMLongBench-page-old":15.57}
 {"Rank":15,"Models":"<a href=\"https:\/\/huggingface.co\/Haon-Chen\/e5-omni-3B\">e5-omni-3B<\/a>","Model Size(B)":3.0,"Date":"2026-01-09","Visdoc-Overall":73.16,"ViDoRe-V1":83.13,"ViDoRe-V2":59.53,"VisRAG":85.48,"VisDoc-OOD":43.38,"ViDoRe_arxivqa":82.2,"ViDoRe_docvqa":51.99,"ViDoRe_infovqa":88.88,"ViDoRe_tabfquad":88.86,"ViDoRe_tatdqa":58.78,"ViDoRe_shiftproject":80.14,"ViDoRe_syntheticDocQA_artificial_intelligence":98.15,"ViDoRe_syntheticDocQA_energy":93.17,"ViDoRe_syntheticDocQA_government_reports":93.21,"ViDoRe_syntheticDocQA_healthcare_industry":95.92,"ViDoRe_esg_reports_human_labeled_v2":61.84,"ViDoRe_biomedical_lectures_v2_multilingual":60.92,"ViDoRe_economics_reports_v2_multilingual":64.39,"ViDoRe_esg_reports_v2_multilingual":50.97,"VisRAG_ArxivQA":84.52,"VisRAG_ChartQA":86.75,"VisRAG_MP-DocVQA":85.51,"VisRAG_SlideVQA":95.4,"VisRAG_InfoVQA":92.55,"VisRAG_PlotQA":68.17,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.29,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":52.85,"ViDoSeek-page-old":22.38,"MMLongBench-page-old":15.0}
 {"Rank":16,"Models":"Crotchet-embedding-2B","Model Size(B)":2.13,"Date":"2025-12-31","Visdoc-Overall":72.87,"ViDoRe-V1":78.16,"ViDoRe-V2":53.28,"VisRAG":82.21,"VisDoc-OOD":65.19,"ViDoRe_arxivqa":84.34,"ViDoRe_docvqa":42.93,"ViDoRe_infovqa":85.18,"ViDoRe_tabfquad":93.29,"ViDoRe_tatdqa":53.04,"ViDoRe_shiftproject":71.02,"ViDoRe_syntheticDocQA_artificial_intelligence":90.74,"ViDoRe_syntheticDocQA_energy":85.07,"ViDoRe_syntheticDocQA_government_reports":85.45,"ViDoRe_syntheticDocQA_healthcare_industry":90.59,"ViDoRe_esg_reports_human_labeled_v2":62.65,"ViDoRe_biomedical_lectures_v2_multilingual":46.92,"ViDoRe_economics_reports_v2_multilingual":51.47,"ViDoRe_esg_reports_v2_multilingual":52.09,"VisRAG_ArxivQA":81.64,"VisRAG_ChartQA":85.47,"VisRAG_MP-DocVQA":76.0,"VisRAG_SlideVQA":90.85,"VisRAG_InfoVQA":88.54,"VisRAG_PlotQA":70.74,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":81.84,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":49.18,"ViDoSeek-page-old":78.36,"MMLongBench-page-old":51.39}
-{"Rank":17,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Visdoc-Overall":72.71,"ViDoRe-V1":86.15,"ViDoRe-V2":53.96,"VisRAG":82.52,"VisDoc-OOD":43.12,"ViDoRe_arxivqa":82.76,"ViDoRe_docvqa":53.11,"ViDoRe_infovqa":90.16,"ViDoRe_tabfquad":93.33,"ViDoRe_tatdqa":69.94,"ViDoRe_shiftproject":89.47,"ViDoRe_syntheticDocQA_artificial_intelligence":97.52,"ViDoRe_syntheticDocQA_energy":91.91,"ViDoRe_syntheticDocQA_government_reports":94.59,"ViDoRe_syntheticDocQA_healthcare_industry":98.69,"ViDoRe_esg_reports_human_labeled_v2":60.95,"ViDoRe_biomedical_lectures_v2_multilingual":53.98,"ViDoRe_economics_reports_v2_multilingual":50.19,"ViDoRe_esg_reports_v2_multilingual":50.73,"VisRAG_ArxivQA":82.0,"VisRAG_ChartQA":79.88,"VisRAG_MP-DocVQA":84.42,"VisRAG_SlideVQA":93.38,"VisRAG_InfoVQA":91.36,"VisRAG_PlotQA":64.09,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.62,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":51.43,"ViDoSeek-page-old":21.62,"MMLongBench-page-old":15.82}
-{"Rank":18,"Models":"<a href=\"https:\/\/huggingface.co\/vidore\/colpali-v1.3\">colpali-v1.3<\/a>","Model Size(B)":2.92,"Date":"2025-06-28","Visdoc-Overall":70.97,"ViDoRe-V1":83.6,"ViDoRe-V2":51.98,"VisRAG":81.13,"VisDoc-OOD":43.12,"ViDoRe_arxivqa":81.74,"ViDoRe_docvqa":56.64,"ViDoRe_infovqa":84.94,"ViDoRe_tabfquad":86.93,"ViDoRe_tatdqa":70.87,"ViDoRe_shiftproject":75.12,"ViDoRe_syntheticDocQA_artificial_intelligence":95.65,"ViDoRe_syntheticDocQA_energy":94.67,"ViDoRe_syntheticDocQA_government_reports":93.55,"ViDoRe_syntheticDocQA_healthcare_industry":95.92,"ViDoRe_esg_reports_human_labeled_v2":51.29,"ViDoRe_biomedical_lectures_v2_multilingual":54.72,"ViDoRe_economics_reports_v2_multilingual":48.97,"ViDoRe_esg_reports_v2_multilingual":52.94,"VisRAG_ArxivQA":80.87,"VisRAG_ChartQA":78.15,"VisRAG_MP-DocVQA":86.76,"VisRAG_SlideVQA":95.03,"VisRAG_InfoVQA":85.69,"VisRAG_PlotQA":60.3,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.66,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":52.51,"ViDoSeek-page-old":22.16,"MMLongBench-page-old":14.17}
-{"Rank":19,"Models":"<a href=\"https:\/\/huggingface.co\/OpenSearch-AI\/Ops-MM-embedding-v1-7B\">Ops-MM-embedding-v1-7B<\/a>","Model Size(B)":8.29,"Date":"2025-07-02","Visdoc-Overall":70.34,"ViDoRe-V1":80.05,"ViDoRe-V2":59.59,"VisRAG":79.31,"VisDoc-OOD":43.34,"ViDoRe_arxivqa":78.17,"ViDoRe_docvqa":49.11,"ViDoRe_infovqa":86.59,"ViDoRe_tabfquad":91.4,"ViDoRe_tatdqa":55.59,"ViDoRe_shiftproject":76.17,"ViDoRe_syntheticDocQA_artificial_intelligence":90.99,"ViDoRe_syntheticDocQA_energy":87.53,"ViDoRe_syntheticDocQA_government_reports":91.56,"ViDoRe_syntheticDocQA_healthcare_industry":93.39,"ViDoRe_esg_reports_human_labeled_v2":66.27,"ViDoRe_biomedical_lectures_v2_multilingual":54.34,"ViDoRe_economics_reports_v2_multilingual":60.92,"ViDoRe_esg_reports_v2_multilingual":56.82,"VisRAG_ArxivQA":78.18,"VisRAG_ChartQA":79.53,"VisRAG_MP-DocVQA":78.2,"VisRAG_SlideVQA":91.11,"VisRAG_InfoVQA":87.16,"VisRAG_PlotQA":61.71,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.47,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":51.51,"ViDoSeek-page-old":22.47,"MMLongBench-page-old":15.89}
+{"Rank":17,"Models":"<a href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Visdoc-Overall":71.35,"ViDoRe-V1":87.12,"ViDoRe-V2":53.88,"VisRAG":82.43,"VisDoc-OOD":32.78,"ViDoRe_arxivqa":82.53,"ViDoRe_docvqa":55.16,"ViDoRe_infovqa":90.69,"ViDoRe_tabfquad":93.31,"ViDoRe_tatdqa":70.26,"ViDoRe_shiftproject":92.85,"ViDoRe_syntheticDocQA_artificial_intelligence":98.13,"ViDoRe_syntheticDocQA_energy":92.56,"ViDoRe_syntheticDocQA_government_reports":97.15,"ViDoRe_syntheticDocQA_healthcare_industry":98.52,"ViDoRe_esg_reports_human_labeled_v2":60.29,"ViDoRe_biomedical_lectures_v2_multilingual":53.99,"ViDoRe_economics_reports_v2_multilingual":50.8,"ViDoRe_esg_reports_v2_multilingual":50.43,"VisRAG_ArxivQA":81.95,"VisRAG_ChartQA":79.09,"VisRAG_MP-DocVQA":84.34,"VisRAG_SlideVQA":93.68,"VisRAG_InfoVQA":91.41,"VisRAG_PlotQA":64.12,"ViDoSeek-page":79.81,"ViDoSeek-doc":0.0,"MMLongBench-page":51.32,"MMLongBench-doc":0.0,"ViDoSeek-page-old":null,"MMLongBench-page-old":null}
+{"Rank":18,"Models":"<a href=\"https:\/\/huggingface.co\/OpenSearch-AI\/Ops-MM-embedding-v1-7B\">Ops-MM-embedding-v1-7B<\/a>","Model Size(B)":8.29,"Date":"2025-07-02","Visdoc-Overall":70.34,"ViDoRe-V1":80.05,"ViDoRe-V2":59.59,"VisRAG":79.31,"VisDoc-OOD":43.34,"ViDoRe_arxivqa":78.17,"ViDoRe_docvqa":49.11,"ViDoRe_infovqa":86.59,"ViDoRe_tabfquad":91.4,"ViDoRe_tatdqa":55.59,"ViDoRe_shiftproject":76.17,"ViDoRe_syntheticDocQA_artificial_intelligence":90.99,"ViDoRe_syntheticDocQA_energy":87.53,"ViDoRe_syntheticDocQA_government_reports":91.56,"ViDoRe_syntheticDocQA_healthcare_industry":93.39,"ViDoRe_esg_reports_human_labeled_v2":66.27,"ViDoRe_biomedical_lectures_v2_multilingual":54.34,"ViDoRe_economics_reports_v2_multilingual":60.92,"ViDoRe_esg_reports_v2_multilingual":56.82,"VisRAG_ArxivQA":78.18,"VisRAG_ChartQA":79.53,"VisRAG_MP-DocVQA":78.2,"VisRAG_SlideVQA":91.11,"VisRAG_InfoVQA":87.16,"VisRAG_PlotQA":61.71,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":83.47,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":51.51,"ViDoSeek-page-old":22.47,"MMLongBench-page-old":15.89}
+{"Rank":19,"Models":"colpali-v1.3","Model Size(B)":"unknown","Date":"2025-12-29","Visdoc-Overall":70.14,"ViDoRe-V1":84.57,"ViDoRe-V2":54.81,"VisRAG":81.0,"VisDoc-OOD":33.1,"ViDoRe_arxivqa":83.33,"ViDoRe_docvqa":59.2,"ViDoRe_infovqa":85.38,"ViDoRe_tabfquad":86.63,"ViDoRe_tatdqa":70.47,"ViDoRe_shiftproject":76.83,"ViDoRe_syntheticDocQA_artificial_intelligence":96.26,"ViDoRe_syntheticDocQA_energy":95.02,"ViDoRe_syntheticDocQA_government_reports":95.59,"ViDoRe_syntheticDocQA_healthcare_industry":97.02,"ViDoRe_esg_reports_human_labeled_v2":57.25,"ViDoRe_biomedical_lectures_v2_multilingual":56.25,"ViDoRe_economics_reports_v2_multilingual":50.2,"ViDoRe_esg_reports_v2_multilingual":55.56,"VisRAG_ArxivQA":80.9,"VisRAG_ChartQA":77.04,"VisRAG_MP-DocVQA":87.03,"VisRAG_SlideVQA":95.13,"VisRAG_InfoVQA":85.73,"VisRAG_PlotQA":60.18,"ViDoSeek-page":79.22,"ViDoSeek-doc":0.0,"MMLongBench-page":53.18,"MMLongBench-doc":0.0,"ViDoSeek-page-old":null,"MMLongBench-page-old":null}
 {"Rank":20,"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/UME-R1-7B\">UME-R1-7B<\/a>","Model Size(B)":8.29,"Date":"2025-10-20","Visdoc-Overall":67.13,"ViDoRe-V1":75.66,"ViDoRe-V2":50.53,"VisRAG":83.7,"VisDoc-OOD":37.55,"ViDoRe_arxivqa":73.56,"ViDoRe_docvqa":41.1,"ViDoRe_infovqa":80.83,"ViDoRe_tabfquad":90.24,"ViDoRe_tatdqa":46.67,"ViDoRe_shiftproject":64.96,"ViDoRe_syntheticDocQA_artificial_intelligence":89.47,"ViDoRe_syntheticDocQA_energy":85.7,"ViDoRe_syntheticDocQA_government_reports":89.82,"ViDoRe_syntheticDocQA_healthcare_industry":94.29,"ViDoRe_esg_reports_human_labeled_v2":50.41,"ViDoRe_biomedical_lectures_v2_multilingual":50.73,"ViDoRe_economics_reports_v2_multilingual":57.8,"ViDoRe_esg_reports_v2_multilingual":43.18,"VisRAG_ArxivQA":80.45,"VisRAG_ChartQA":84.95,"VisRAG_MP-DocVQA":83.43,"VisRAG_SlideVQA":91.47,"VisRAG_InfoVQA":89.2,"VisRAG_PlotQA":72.7,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":75.33,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":41.28,"ViDoSeek-page-old":21.28,"MMLongBench-page-old":12.32}
 {"Rank":21,"Models":"<a href=\"https:\/\/huggingface.co\/OpenSearch-AI\/Ops-MM-embedding-v1-2B\">Ops-MM-embedding-v1-2B<\/a>","Model Size(B)":2.21,"Date":"2025-07-02","Visdoc-Overall":66.96,"ViDoRe-V1":76.39,"ViDoRe-V2":53.18,"VisRAG":77.64,"VisDoc-OOD":41.17,"ViDoRe_arxivqa":73.72,"ViDoRe_docvqa":45.01,"ViDoRe_infovqa":81.41,"ViDoRe_tabfquad":88.81,"ViDoRe_tatdqa":49.59,"ViDoRe_shiftproject":72.57,"ViDoRe_syntheticDocQA_artificial_intelligence":89.8,"ViDoRe_syntheticDocQA_energy":84.27,"ViDoRe_syntheticDocQA_government_reports":87.06,"ViDoRe_syntheticDocQA_healthcare_industry":91.64,"ViDoRe_esg_reports_human_labeled_v2":58.57,"ViDoRe_biomedical_lectures_v2_multilingual":52.87,"ViDoRe_economics_reports_v2_multilingual":47.89,"ViDoRe_esg_reports_v2_multilingual":53.39,"VisRAG_ArxivQA":73.84,"VisRAG_ChartQA":80.17,"VisRAG_MP-DocVQA":75.06,"VisRAG_SlideVQA":89.15,"VisRAG_InfoVQA":86.66,"VisRAG_PlotQA":60.99,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":82.29,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":47.89,"ViDoSeek-page-old":21.44,"MMLongBench-page-old":13.06}
-{"Rank":22,"Models":"<a href=\"https:\/\/huggingface.co\/VLM2Vec\/VLM2Vec-V2.0\">VLM2Vec-V2.0-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Visdoc-Overall":65.36,"ViDoRe-V1":75.52,"ViDoRe-V2":44.86,"VisRAG":79.38,"VisDoc-OOD":39.43,"ViDoRe_arxivqa":80.58,"ViDoRe_docvqa":44.85,"ViDoRe_infovqa":83.69,"ViDoRe_tabfquad":89.21,"ViDoRe_tatdqa":43.82,"ViDoRe_shiftproject":60.82,"ViDoRe_syntheticDocQA_artificial_intelligence":88.53,"ViDoRe_syntheticDocQA_energy":86.51,"ViDoRe_syntheticDocQA_government_reports":85.01,"ViDoRe_syntheticDocQA_healthcare_industry":92.17,"ViDoRe_esg_reports_human_labeled_v2":45.56,"ViDoRe_biomedical_lectures_v2_multilingual":44.27,"ViDoRe_economics_reports_v2_multilingual":43.0,"ViDoRe_esg_reports_v2_multilingual":46.62,"VisRAG_ArxivQA":76.87,"VisRAG_ChartQA":84.41,"VisRAG_MP-DocVQA":71.79,"VisRAG_SlideVQA":91.5,"VisRAG_InfoVQA":85.65,"VisRAG_PlotQA":66.05,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":80.18,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":43.71,"ViDoSeek-page-old":21.94,"MMLongBench-page-old":11.89}
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+{"Rank":22,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-7B<\/a>","Model Size(B)":8.03,"Date":"2025-07-06","Visdoc-Overall":63.92,"ViDoRe-V1":70.68,"ViDoRe-V2":49.57,"VisRAG":79.45,"VisDoc-OOD":38.07,"ViDoRe_arxivqa":73.29,"ViDoRe_docvqa":38.27,"ViDoRe_infovqa":80.59,"ViDoRe_tabfquad":80.7,"ViDoRe_tatdqa":37.79,"ViDoRe_shiftproject":52.02,"ViDoRe_syntheticDocQA_artificial_intelligence":85.99,"ViDoRe_syntheticDocQA_energy":84.78,"ViDoRe_syntheticDocQA_government_reports":84.96,"ViDoRe_syntheticDocQA_healthcare_industry":88.37,"ViDoRe_esg_reports_human_labeled_v2":50.67,"ViDoRe_biomedical_lectures_v2_multilingual":50.89,"ViDoRe_economics_reports_v2_multilingual":54.38,"ViDoRe_esg_reports_v2_multilingual":42.33,"VisRAG_ArxivQA":73.96,"VisRAG_ChartQA":82.71,"VisRAG_MP-DocVQA":75.15,"VisRAG_SlideVQA":87.58,"VisRAG_InfoVQA":87.91,"VisRAG_PlotQA":69.42,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":73.82,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":42.61,"ViDoSeek-page-old":22.52,"MMLongBench-page-old":13.32}
+{"Rank":23,"Models":"<a href=\"https:\/\/huggingface.co\/zhibinlan\/UME-R1-2B\">UME-R1-2B<\/a>","Model Size(B)":2.21,"Date":"2025-10-20","Visdoc-Overall":63.86,"ViDoRe-V1":72.39,"ViDoRe-V2":46.16,"VisRAG":79.22,"VisDoc-OOD":37.17,"ViDoRe_arxivqa":73.86,"ViDoRe_docvqa":37.85,"ViDoRe_infovqa":76.19,"ViDoRe_tabfquad":86.11,"ViDoRe_tatdqa":40.63,"ViDoRe_shiftproject":66.79,"ViDoRe_syntheticDocQA_artificial_intelligence":85.87,"ViDoRe_syntheticDocQA_energy":83.25,"ViDoRe_syntheticDocQA_government_reports":82.56,"ViDoRe_syntheticDocQA_healthcare_industry":90.83,"ViDoRe_esg_reports_human_labeled_v2":50.16,"ViDoRe_biomedical_lectures_v2_multilingual":46.15,"ViDoRe_economics_reports_v2_multilingual":45.69,"ViDoRe_esg_reports_v2_multilingual":42.65,"VisRAG_ArxivQA":74.26,"VisRAG_ChartQA":85.98,"VisRAG_MP-DocVQA":75.59,"VisRAG_SlideVQA":87.11,"VisRAG_InfoVQA":84.38,"VisRAG_PlotQA":67.98,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":75.89,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":39.68,"ViDoSeek-page-old":21.2,"MMLongBench-page-old":11.9}
+{"Rank":24,"Models":"<a href=\"https:\/\/huggingface.co\/VLM2Vec\/VLM2Vec-V2.0\">VLM2Vec-V2.0-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-12-29","Visdoc-Overall":63.47,"ViDoRe-V1":74.39,"ViDoRe-V2":44.61,"VisRAG":79.33,"VisDoc-OOD":31.25,"ViDoRe_arxivqa":78.87,"ViDoRe_docvqa":37.06,"ViDoRe_infovqa":82.71,"ViDoRe_tabfquad":87.77,"ViDoRe_tatdqa":44.29,"ViDoRe_shiftproject":61.04,"ViDoRe_syntheticDocQA_artificial_intelligence":89.12,"ViDoRe_syntheticDocQA_energy":86.29,"ViDoRe_syntheticDocQA_government_reports":85.58,"ViDoRe_syntheticDocQA_healthcare_industry":91.13,"ViDoRe_esg_reports_human_labeled_v2":45.79,"ViDoRe_biomedical_lectures_v2_multilingual":44.59,"ViDoRe_economics_reports_v2_multilingual":42.33,"ViDoRe_esg_reports_v2_multilingual":45.74,"VisRAG_ArxivQA":76.74,"VisRAG_ChartQA":84.2,"VisRAG_MP-DocVQA":71.8,"VisRAG_SlideVQA":91.44,"VisRAG_InfoVQA":85.88,"VisRAG_PlotQA":65.91,"ViDoSeek-page":80.3,"ViDoSeek-doc":0.0,"MMLongBench-page":44.7,"MMLongBench-doc":0.0,"ViDoSeek-page-old":null,"MMLongBench-page-old":null}
 {"Rank":25,"Models":"<a href=\"https:\/\/github.com\/GaryGuTC\/UniME-v2\">UniME-V2-LLaVA-OneVision-7B<\/a>","Model Size(B)":8.03,"Date":"2025-10-15","Visdoc-Overall":56.68,"ViDoRe-V1":61.76,"ViDoRe-V2":42.0,"VisRAG":70.53,"VisDoc-OOD":37.86,"ViDoRe_arxivqa":51.9,"ViDoRe_docvqa":38.17,"ViDoRe_infovqa":73.16,"ViDoRe_tabfquad":57.75,"ViDoRe_tatdqa":35.48,"ViDoRe_shiftproject":45.42,"ViDoRe_syntheticDocQA_artificial_intelligence":76.85,"ViDoRe_syntheticDocQA_energy":77.27,"ViDoRe_syntheticDocQA_government_reports":79.87,"ViDoRe_syntheticDocQA_healthcare_industry":81.71,"ViDoRe_esg_reports_human_labeled_v2":54.67,"ViDoRe_biomedical_lectures_v2_multilingual":33.75,"ViDoRe_economics_reports_v2_multilingual":35.95,"ViDoRe_esg_reports_v2_multilingual":43.63,"VisRAG_ArxivQA":53.13,"VisRAG_ChartQA":83.67,"VisRAG_MP-DocVQA":66.4,"VisRAG_SlideVQA":86.44,"VisRAG_InfoVQA":82.58,"VisRAG_PlotQA":50.96,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":75.79,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":40.8,"ViDoSeek-page-old":22.89,"MMLongBench-page-old":11.96}
 {"Rank":26,"Models":"<a href=\"https:\/\/arxiv.org\/abs\/2503.19900\">interestFM-UIR-CAFe-0.5B<\/a>","Model Size(B)":0.894,"Date":"2025-07-06","Visdoc-Overall":51.41,"ViDoRe-V1":56.93,"ViDoRe-V2":32.59,"VisRAG":68.57,"VisDoc-OOD":30.69,"ViDoRe_arxivqa":51.19,"ViDoRe_docvqa":25.46,"ViDoRe_infovqa":71.95,"ViDoRe_tabfquad":59.64,"ViDoRe_tatdqa":27.05,"ViDoRe_shiftproject":31.8,"ViDoRe_syntheticDocQA_artificial_intelligence":78.74,"ViDoRe_syntheticDocQA_energy":70.75,"ViDoRe_syntheticDocQA_government_reports":75.47,"ViDoRe_syntheticDocQA_healthcare_industry":77.29,"ViDoRe_esg_reports_human_labeled_v2":36.24,"ViDoRe_biomedical_lectures_v2_multilingual":29.72,"ViDoRe_economics_reports_v2_multilingual":37.61,"ViDoRe_esg_reports_v2_multilingual":26.78,"VisRAG_ArxivQA":57.82,"VisRAG_ChartQA":75.62,"VisRAG_MP-DocVQA":63.24,"VisRAG_SlideVQA":82.32,"VisRAG_InfoVQA":80.28,"VisRAG_PlotQA":52.14,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":61.41,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":33.78,"ViDoSeek-page-old":17.62,"MMLongBench-page-old":9.95}
-{"Rank":27,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret-Qwen2.5VL-7b\">LamRA-Ret-Qwen2.5VL-7b<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Visdoc-Overall":50.24,"ViDoRe-V1":56.31,"ViDoRe-V2":33.32,"VisRAG":58.18,"VisDoc-OOD":40.09,"ViDoRe_arxivqa":52.98,"ViDoRe_docvqa":25.42,"ViDoRe_infovqa":72.31,"ViDoRe_tabfquad":66.08,"ViDoRe_tatdqa":25.85,"ViDoRe_shiftproject":27.34,"ViDoRe_syntheticDocQA_artificial_intelligence":72.01,"ViDoRe_syntheticDocQA_energy":65.17,"ViDoRe_syntheticDocQA_government_reports":72.15,"ViDoRe_syntheticDocQA_healthcare_industry":83.75,"ViDoRe_esg_reports_human_labeled_v2":32.95,"ViDoRe_biomedical_lectures_v2_multilingual":35.87,"ViDoRe_economics_reports_v2_multilingual":31.94,"ViDoRe_esg_reports_v2_multilingual":32.51,"VisRAG_ArxivQA":37.68,"VisRAG_ChartQA":65.9,"VisRAG_MP-DocVQA":54.52,"VisRAG_SlideVQA":76.54,"VisRAG_InfoVQA":73.26,"VisRAG_PlotQA":41.2,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":80.26,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":43.54,"ViDoSeek-page-old":23.05,"MMLongBench-page-old":13.52}
-{"Rank":28,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-7B\">VLM2Vec-V1-Qwen2VL-7B<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Visdoc-Overall":46.43,"ViDoRe-V1":56.95,"ViDoRe-V2":9.41,"VisRAG":59.12,"VisDoc-OOD":38.09,"ViDoRe_arxivqa":60.2,"ViDoRe_docvqa":34.71,"ViDoRe_infovqa":70.38,"ViDoRe_tabfquad":78.18,"ViDoRe_tatdqa":27.62,"ViDoRe_shiftproject":38.62,"ViDoRe_syntheticDocQA_artificial_intelligence":67.65,"ViDoRe_syntheticDocQA_energy":60.42,"ViDoRe_syntheticDocQA_government_reports":61.82,"ViDoRe_syntheticDocQA_healthcare_industry":69.85,"ViDoRe_esg_reports_human_labeled_v2":6.82,"ViDoRe_biomedical_lectures_v2_multilingual":5.06,"ViDoRe_economics_reports_v2_multilingual":13.88,"ViDoRe_esg_reports_v2_multilingual":11.89,"VisRAG_ArxivQA":52.61,"VisRAG_ChartQA":70.23,"VisRAG_MP-DocVQA":52.81,"VisRAG_SlideVQA":72.77,"VisRAG_InfoVQA":71.96,"VisRAG_PlotQA":34.35,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":77.81,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":40.46,"ViDoSeek-page-old":22.28,"MMLongBench-page-old":11.82}
-{"Rank":29,"Models":"<a href=\"https:\/\/huggingface.co\/TIGER-Lab\/VLM2Vec-Qwen2VL-2B\">VLM2Vec-V1-Qwen2VL-2B<\/a>","Model Size(B)":2.21,"Date":"2025-06-28","Visdoc-Overall":41.55,"ViDoRe-V1":49.81,"ViDoRe-V2":13.51,"VisRAG":51.83,"VisDoc-OOD":33.55,"ViDoRe_arxivqa":48.88,"ViDoRe_docvqa":26.95,"ViDoRe_infovqa":67.24,"ViDoRe_tabfquad":62.58,"ViDoRe_tatdqa":19.79,"ViDoRe_shiftproject":41.8,"ViDoRe_syntheticDocQA_artificial_intelligence":55.02,"ViDoRe_syntheticDocQA_energy":59.11,"ViDoRe_syntheticDocQA_government_reports":57.07,"ViDoRe_syntheticDocQA_healthcare_industry":59.64,"ViDoRe_esg_reports_human_labeled_v2":12.6,"ViDoRe_biomedical_lectures_v2_multilingual":7.4,"ViDoRe_economics_reports_v2_multilingual":13.9,"ViDoRe_esg_reports_v2_multilingual":20.13,"VisRAG_ArxivQA":41.75,"VisRAG_ChartQA":57.93,"VisRAG_MP-DocVQA":43.18,"VisRAG_SlideVQA":74.03,"VisRAG_InfoVQA":70.67,"VisRAG_PlotQA":23.4,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":74.28,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":32.57,"ViDoSeek-page-old":17.74,"MMLongBench-page-old":9.6}
-{"Rank":30,"Models":"<a href=\"https:\/\/huggingface.co\/code-kunkun\/LamRA-Ret\">LamRA-Ret<\/a>","Model Size(B)":8.29,"Date":"2025-06-28","Visdoc-Overall":23.91,"ViDoRe-V1":21.99,"ViDoRe-V2":11.46,"VisRAG":37.35,"VisDoc-OOD":20.99,"ViDoRe_arxivqa":10.8,"ViDoRe_docvqa":19.13,"ViDoRe_infovqa":46.25,"ViDoRe_tabfquad":42.84,"ViDoRe_tatdqa":11.43,"ViDoRe_shiftproject":12.04,"ViDoRe_syntheticDocQA_artificial_intelligence":10.32,"ViDoRe_syntheticDocQA_energy":24.77,"ViDoRe_syntheticDocQA_government_reports":16.36,"ViDoRe_syntheticDocQA_healthcare_industry":25.94,"ViDoRe_esg_reports_human_labeled_v2":7.58,"ViDoRe_biomedical_lectures_v2_multilingual":13.28,"ViDoRe_economics_reports_v2_multilingual":19.08,"ViDoRe_esg_reports_v2_multilingual":5.92,"VisRAG_ArxivQA":2.02,"VisRAG_ChartQA":41.34,"VisRAG_MP-DocVQA":33.38,"VisRAG_SlideVQA":56.49,"VisRAG_InfoVQA":56.34,"VisRAG_PlotQA":34.55,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":37.14,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":27.58,"ViDoSeek-page-old":11.29,"MMLongBench-page-old":7.95}
-{"Rank":31,"Models":"dp-embedding-v3-lite","Model Size(B)":8.29,"Date":"2025-12-15","Visdoc-Overall":0.0,"ViDoRe-V1":0.0,"ViDoRe-V2":0.0,"VisRAG":0.0,"VisDoc-OOD":0.0,"ViDoRe_arxivqa":0.0,"ViDoRe_docvqa":0.0,"ViDoRe_infovqa":0.0,"ViDoRe_tabfquad":0.0,"ViDoRe_tatdqa":0.0,"ViDoRe_shiftproject":0.0,"ViDoRe_syntheticDocQA_artificial_intelligence":0.0,"ViDoRe_syntheticDocQA_energy":0.0,"ViDoRe_syntheticDocQA_government_reports":0.0,"ViDoRe_syntheticDocQA_healthcare_industry":0.0,"ViDoRe_esg_reports_human_labeled_v2":0.0,"ViDoRe_biomedical_lectures_v2_multilingual":0.0,"ViDoRe_economics_reports_v2_multilingual":0.0,"ViDoRe_esg_reports_v2_multilingual":0.0,"VisRAG_ArxivQA":0.0,"VisRAG_ChartQA":0.0,"VisRAG_MP-DocVQA":0.0,"VisRAG_SlideVQA":0.0,"VisRAG_InfoVQA":0.0,"VisRAG_PlotQA":0.0,"ViDoSeek-page":"Attention! Please fix this score!","ViDoSeek-doc":0.0,"MMLongBench-page":"Attention! Please fix this score!","MMLongBench-doc":0.0,"ViDoSeek-page-old":0.0,"MMLongBench-page-old":0.0}
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