Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate Paper • 2501.17703 • Published about 1 month ago • 55
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Paper • 2502.05171 • Published 21 days ago • 120
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs Paper • 2501.18585 • Published 29 days ago • 56
GuardReasoner: Towards Reasoning-based LLM Safeguards Paper • 2501.18492 • Published 29 days ago • 82
The Differences Between Direct Alignment Algorithms are a Blur Paper • 2502.01237 • Published 25 days ago • 111
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Paper • 2501.17161 • Published Jan 28 • 108
Reward-Guided Speculative Decoding for Efficient LLM Reasoning Paper • 2501.19324 • Published 28 days ago • 37
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models Paper • 2502.01061 • Published 26 days ago • 183
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Paper • 2502.02737 • Published 24 days ago • 195
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling Paper • 2502.06703 • Published 18 days ago • 140