DAPO: An Open-Source LLM Reinforcement Learning System at Scale Paper • 2503.14476 • Published 1 day ago • 42
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark Paper • 2409.02813 • Published Sep 4, 2024 • 30
CoRe^2: Collect, Reflect and Refine to Generate Better and Faster Paper • 2503.09662 • Published 7 days ago • 29
MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice Paper • 2503.05978 • Published 12 days ago • 32
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? Paper • 2502.14502 • Published 27 days ago • 85
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Paper • 2502.11089 • Published Feb 16 • 145
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Paper • 2502.10248 • Published Feb 14 • 51
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models Paper • 2502.03032 • Published Feb 5 • 58
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Paper • 2501.17161 • Published Jan 28 • 109
Qwen2.5-VL Collection Vision-language model series based on Qwen2.5 • 8 items • Updated 24 days ago • 400
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback Paper • 2501.12895 • Published Jan 22 • 57
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published Jan 22 • 352
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps Paper • 2501.09732 • Published Jan 16 • 70
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining Paper • 2501.00958 • Published Jan 1 • 100