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Collections including paper arxiv:2512.07778

Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models

Paper • 2602.12036 • Published Feb 12 • 93
Reinforcement Learning for Self-Improving Agent with Skill Library

Paper • 2512.17102 • Published Dec 18, 2025 • 42
Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation

Paper • 2512.23705 • Published Dec 29, 2025 • 45
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models

Paper • 2512.19995 • Published Dec 23, 2025 • 16

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 196 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Paper • 2407.08083 • Published Jul 10, 2024 • 34
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 63
The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Paper • 2408.15237 • Published Aug 27, 2024 • 42
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Paper • 2409.11355 • Published Sep 17, 2024 • 30

Resa: Transparent Reasoning Models via SAEs

Paper • 2506.09967 • Published Jun 11, 2025 • 22
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Paper • 2408.05147 • Published Aug 9, 2024 • 41
Train Sparse Autoencoders Efficiently by Utilizing Features Correlation

Paper • 2505.22255 • Published May 28, 2025 • 24
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 121

Representation & Optimization

Understanding about representation sheds light on optimization

Nuclear Norm Regularization for Deep Learning

Paper • 2405.14544 • Published May 23, 2024 • 1
Token embeddings violate the manifold hypothesis

Paper • 2504.01002 • Published Apr 1, 2025 • 1
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers

Paper • 2403.10476 • Published Mar 15, 2024 • 1
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning

Paper • 2504.00254 • Published Mar 31, 2025 • 1

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models

Paper • 2602.12036 • Published Feb 12 • 93
Reinforcement Learning for Self-Improving Agent with Skill Library

Paper • 2512.17102 • Published Dec 18, 2025 • 42
Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation

Paper • 2512.23705 • Published Dec 29, 2025 • 45
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models

Paper • 2512.19995 • Published Dec 23, 2025 • 16

Resa: Transparent Reasoning Models via SAEs

Paper • 2506.09967 • Published Jun 11, 2025 • 22
Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Paper • 2408.05147 • Published Aug 9, 2024 • 41
Train Sparse Autoencoders Efficiently by Utilizing Features Correlation

Paper • 2505.22255 • Published May 28, 2025 • 24
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 121

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 196 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

Representation & Optimization

Understanding about representation sheds light on optimization

Nuclear Norm Regularization for Deep Learning

Paper • 2405.14544 • Published May 23, 2024 • 1
Token embeddings violate the manifold hypothesis

Paper • 2504.01002 • Published Apr 1, 2025 • 1
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers

Paper • 2403.10476 • Published Mar 15, 2024 • 1
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning

Paper • 2504.00254 • Published Mar 31, 2025 • 1

MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Paper • 2407.08083 • Published Jul 10, 2024 • 34
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 63
The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Paper • 2408.15237 • Published Aug 27, 2024 • 42
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

Paper • 2409.11355 • Published Sep 17, 2024 • 30

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24, 2024 • 29
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24, 2024 • 15
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20, 2024 • 50
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 33

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