Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published 6 days ago • 109
Inference-Time Scaling for Generalist Reward Modeling Paper • 2504.02495 • Published 14 days ago • 52
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback Paper • 2503.22230 • Published 20 days ago • 43
Unified Reward Model for Multimodal Understanding and Generation Paper • 2503.05236 • Published Mar 7 • 117
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference Paper • 2502.18411 • Published Feb 25 • 73
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation Paper • 2502.13128 • Published Feb 18 • 41
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Paper • 2502.06781 • Published Feb 10 • 61
Light-A-Video: Training-free Video Relighting via Progressive Light Fusion Paper • 2502.08590 • Published Feb 12 • 44
VideoRoPE: What Makes for Good Video Rotary Position Embedding? Paper • 2502.05173 • Published Feb 7 • 65
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Paper • 2501.12368 • Published Jan 21 • 46
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Paper • 2501.05510 • Published Jan 9 • 44
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 99
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published Jan 6 • 45
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction Paper • 2501.03218 • Published Jan 6 • 37
TÜLU 3: Pushing Frontiers in Open Language Model Post-Training Paper • 2411.15124 • Published Nov 22, 2024 • 63
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models Paper • 2411.14432 • Published Nov 21, 2024 • 26