RAD: Training an End-to-End Driving Policy via Large-Scale 3DGS-based Reinforcement Learning Paper • 2502.13144 • Published 7 days ago • 36
LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization Paper • 2502.13922 • Published 7 days ago • 25
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention Paper • 2502.11089 • Published 10 days ago • 134
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Paper • 2502.07316 • Published 15 days ago • 45
The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding Paper • 2502.08946 • Published 13 days ago • 181
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Paper • 2502.02737 • Published 21 days ago • 193
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Paper • 2501.17161 • Published 28 days ago • 107
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Paper • 2502.05171 • Published 18 days ago • 117
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling Paper • 2502.06703 • Published 16 days ago • 137
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU Paper • 2502.08910 • Published 13 days ago • 141
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Paper • 2502.10248 • Published 12 days ago • 50
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs Paper • 2501.18585 • Published 26 days ago • 55