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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Paper ⢠2304.09542 ⢠Published ⢠5 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper ⢠2312.06648 ⢠Published ⢠1 -
Context Tuning for Retrieval Augmented Generation
Paper ⢠2312.05708 ⢠Published ⢠16 -
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
Paper ⢠2312.02969 ⢠Published ⢠14
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Collections including paper arxiv:2312.05708
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The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper ⢠2311.10093 ⢠Published ⢠58 -
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Paper ⢠2311.12092 ⢠Published ⢠22 -
DREAM: Diffusion Rectification and Estimation-Adaptive Models
Paper ⢠2312.00210 ⢠Published ⢠17 -
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models
Paper ⢠2312.00079 ⢠Published ⢠17
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper ⢠2401.02038 ⢠Published ⢠65 -
Learning To Teach Large Language Models Logical Reasoning
Paper ⢠2310.09158 ⢠Published ⢠1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper ⢠2311.00176 ⢠Published ⢠9 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper ⢠2308.09583 ⢠Published ⢠7
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VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
Paper ⢠2312.02087 ⢠Published ⢠22 -
FaceStudio: Put Your Face Everywhere in Seconds
Paper ⢠2312.02663 ⢠Published ⢠32 -
Orthogonal Adaptation for Modular Customization of Diffusion Models
Paper ⢠2312.02432 ⢠Published ⢠14 -
ReconFusion: 3D Reconstruction with Diffusion Priors
Paper ⢠2312.02981 ⢠Published ⢠10
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Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper ⢠2311.04934 ⢠Published ⢠32 -
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Paper ⢠2311.08692 ⢠Published ⢠13 -
Exponentially Faster Language Modelling
Paper ⢠2311.10770 ⢠Published ⢠119 -
Memory Augmented Language Models through Mixture of Word Experts
Paper ⢠2311.10768 ⢠Published ⢠19
-
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Paper ⢠2304.09542 ⢠Published ⢠5 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper ⢠2312.06648 ⢠Published ⢠1 -
Context Tuning for Retrieval Augmented Generation
Paper ⢠2312.05708 ⢠Published ⢠16 -
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
Paper ⢠2312.02969 ⢠Published ⢠14
-
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence
Paper ⢠2312.02087 ⢠Published ⢠22 -
FaceStudio: Put Your Face Everywhere in Seconds
Paper ⢠2312.02663 ⢠Published ⢠32 -
Orthogonal Adaptation for Modular Customization of Diffusion Models
Paper ⢠2312.02432 ⢠Published ⢠14 -
ReconFusion: 3D Reconstruction with Diffusion Priors
Paper ⢠2312.02981 ⢠Published ⢠10
-
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper ⢠2311.10093 ⢠Published ⢠58 -
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models
Paper ⢠2311.12092 ⢠Published ⢠22 -
DREAM: Diffusion Rectification and Estimation-Adaptive Models
Paper ⢠2312.00210 ⢠Published ⢠17 -
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models
Paper ⢠2312.00079 ⢠Published ⢠17
-
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper ⢠2311.04934 ⢠Published ⢠32 -
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Paper ⢠2311.08692 ⢠Published ⢠13 -
Exponentially Faster Language Modelling
Paper ⢠2311.10770 ⢠Published ⢠119 -
Memory Augmented Language Models through Mixture of Word Experts
Paper ⢠2311.10768 ⢠Published ⢠19
-
Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper ⢠2401.02038 ⢠Published ⢠65 -
Learning To Teach Large Language Models Logical Reasoning
Paper ⢠2310.09158 ⢠Published ⢠1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper ⢠2311.00176 ⢠Published ⢠9 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper ⢠2308.09583 ⢠Published ⢠7