The Differences Between Direct Alignment Algorithms are a Blur Paper • 2502.01237 • Published 11 days ago • 112
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models Paper • 2502.01061 • Published 11 days ago • 171
Large Language Models Think Too Fast To Explore Effectively Paper • 2501.18009 • Published 16 days ago • 22
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs Paper • 2501.18585 • Published 15 days ago • 52
DiffSplat: Repurposing Image Diffusion Models for Scalable Gaussian Splat Generation Paper • 2501.16764 • Published 17 days ago • 21
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training Paper • 2501.17161 • Published 17 days ago • 104
Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate Paper • 2501.17703 • Published 16 days ago • 53
GuardReasoner: Towards Reasoning-based LLM Safeguards Paper • 2501.18492 • Published 15 days ago • 81
EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation Paper • 2501.01895 • Published Jan 3 • 50
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Paper • 2501.02976 • Published Jan 6 • 52
PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides Paper • 2501.03936 • Published Jan 7 • 19
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos Paper • 2501.04001 • Published Jan 7 • 42
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 90
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though Paper • 2501.04682 • Published Jan 8 • 89