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Collections including paper arxiv:2505.10475

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 • 30
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 • 51
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 34

May 2025 - Top Papers

The Leaderboard Illusion

Paper • 2504.20879 • Published Apr 29 • 70
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 68
LLMs for Engineering: Teaching Models to Design High Powered Rockets

Paper • 2504.19394 • Published Apr 27 • 14
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions

Paper • 2504.19056 • Published Apr 27 • 18

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 10
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84

Redundancy Principles for MLLMs Benchmarks

Paper • 2501.13953 • Published Jan 20 • 30
Autonomy-of-Experts Models

Paper • 2501.13074 • Published Jan 22 • 45
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 49
Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14 • 122

LLM Pretraining

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 270

Scaling Law for Quantization-Aware Training

Paper • 2505.14302 • Published May 20 • 76
Reward Reasoning Model

Paper • 2505.14674 • Published May 20 • 36
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 270
AdaptThink: Reasoning Models Can Learn When to Think

Paper • 2505.13417 • Published May 19 • 82

Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 55
Scaling Diffusion Transformers Efficiently via μP

Paper • 2505.15270 • Published May 21 • 34
Vision Transformers Don't Need Trained Registers

Paper • 2506.08010 • Published Jun 9 • 20

CoLLM: A Large Language Model for Composed Image Retrieval

Paper • 2503.19910 • Published Mar 25 • 15
Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82

Training optimization

The Curse of Depth in Large Language Models

Paper • 2502.05795 • Published Feb 9 • 41
Transformers without Normalization

Paper • 2503.10622 • Published Mar 13 • 167
Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82
Learning to Skip the Middle Layers of Transformers

Paper • 2506.21103 • Published Jun 26 • 16

Interesting Papers

These papers are interesting (to me)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models

Paper • 2410.02740 • Published Oct 3, 2024 • 55
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Paper • 2410.01215 • Published Oct 2, 2024 • 36
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25, 2024 • 122
EuroLLM: Multilingual Language Models for Europe

Paper • 2409.16235 • Published Sep 24, 2024 • 28

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 • 30
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 • 51
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21, 2024 • 34

Scaling Law for Quantization-Aware Training

Paper • 2505.14302 • Published May 20 • 76
Reward Reasoning Model

Paper • 2505.14674 • Published May 20 • 36
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 270
AdaptThink: Reasoning Models Can Learn When to Think

Paper • 2505.13417 • Published May 19 • 82

May 2025 - Top Papers

The Leaderboard Illusion

Paper • 2504.20879 • Published Apr 29 • 70
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures

Paper • 2505.09343 • Published May 14 • 68
LLMs for Engineering: Teaching Models to Design High Powered Rockets

Paper • 2504.19394 • Published Apr 27 • 14
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions

Paper • 2504.19056 • Published Apr 27 • 18

Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82
Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective

Paper • 2505.15045 • Published May 21 • 55
Scaling Diffusion Transformers Efficiently via μP

Paper • 2505.15270 • Published May 21 • 34
Vision Transformers Don't Need Trained Registers

Paper • 2506.08010 • Published Jun 9 • 20

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 10
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 84

CoLLM: A Large Language Model for Composed Image Retrieval

Paper • 2503.19910 • Published Mar 25 • 15
Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82

Redundancy Principles for MLLMs Benchmarks

Paper • 2501.13953 • Published Jan 20 • 30
Autonomy-of-Experts Models

Paper • 2501.13074 • Published Jan 22 • 45
Distillation Scaling Laws

Paper • 2502.08606 • Published Feb 12 • 49
Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14 • 122

Training optimization

The Curse of Depth in Large Language Models

Paper • 2502.05795 • Published Feb 9 • 41
Transformers without Normalization

Paper • 2503.10622 • Published Mar 13 • 167
Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82
Learning to Skip the Middle Layers of Transformers

Paper • 2506.21103 • Published Jun 26 • 16

LLM Pretraining

MiniMax-01: Scaling Foundation Models with Lightning Attention

Paper • 2501.08313 • Published Jan 14 • 298
Parallel Scaling Law for Language Models

Paper • 2505.10475 • Published May 15 • 82
Qwen3 Technical Report

Paper • 2505.09388 • Published May 14 • 270

Interesting Papers

These papers are interesting (to me)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models

Paper • 2410.02740 • Published Oct 3, 2024 • 55
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Paper • 2410.01215 • Published Oct 2, 2024 • 36
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25, 2024 • 122
EuroLLM: Multilingual Language Models for Europe

Paper • 2409.16235 • Published Sep 24, 2024 • 28

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