Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Paper • 2502.06781 • Published 1 day ago • 36
VideoRoPE: What Makes for Good Video Rotary Position Embedding? Paper • 2502.05173 • Published 4 days ago • 58
Running 28 28 Open LMM Reasoning Leaderboard 🥇 A Leaderboard that demonstrates LMM reasoning capabilities
OCSampler: Compressing Videos to One Clip with Single-step Sampling Paper • 2201.04388 • Published Jan 12, 2022
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning Paper • 2501.12948 • Published 20 days ago • 315
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement Paper • 2501.12273 • Published 21 days ago • 14
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Paper • 2501.12368 • Published 21 days ago • 39
Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and Refinement Paper • 2501.12273 • Published 21 days ago • 14
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Paper • 2501.12368 • Published 21 days ago • 39
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Paper • 2501.05510 • Published Jan 9 • 39
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Paper • 2501.05510 • Published Jan 9 • 39
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published Jan 6 • 37
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction Paper • 2501.03218 • Published Jan 6 • 35
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published Jan 6 • 37