OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding Paper • 2507.07984 • Published 1 day ago • 29
ScaleCap: Inference-Time Scalable Image Captioning via Dual-Modality Debiasing Paper • 2506.19848 • Published 17 days ago • 26
Long-CLIP: Unlocking the Long-Text Capability of CLIP Paper • 2403.15378 • Published Mar 22, 2024 • 4
Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning Paper • 2505.03318 • Published May 6 • 94
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning Paper • 2504.07956 • Published Apr 10 • 47
Unified Reward Model for Multimodal Understanding and Generation Paper • 2503.05236 • Published Mar 7 • 124
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference Paper • 2502.18411 • Published Feb 25 • 74
SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation Paper • 2502.13128 • Published Feb 18 • 42
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 • 47
The Lessons of Developing Process Reward Models in Mathematical Reasoning Paper • 2501.07301 • Published Jan 13 • 99
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Paper • 2501.05510 • Published Jan 9 • 44
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published Jan 6 • 45