InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model Paper • 2501.12368 • Published 1 day ago • 30
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? Paper • 2501.05510 • Published 14 days ago • 37
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published 17 days ago • 37
Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction Paper • 2501.03218 • Published 17 days ago • 35
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models Paper • 2410.17637 • Published Oct 23, 2024 • 34
PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction Paper • 2410.17247 • Published Oct 22, 2024 • 45
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree Paper • 2410.16268 • Published Oct 21, 2024 • 66
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output Paper • 2407.03320 • Published Jul 3, 2024 • 93
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs Paper • 2406.11833 • Published Jun 17, 2024 • 62
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions Paper • 2406.04325 • Published Jun 6, 2024 • 73
InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model Paper • 2401.16420 • Published Jan 29, 2024 • 55