Rethinking Chain-of-Thought Reasoning for Videos

Benchmark Model Rank Results
video-question-answering-on-videoholmesQwen2.5-VL-7B (GRPO, concise reason, trained with token compression & 6x frames)#12Accuracy: 41.6
video-question-answering-on-mmvuQwen2.5-VL-7B (GRPO, concise reason, trained with token compression & 6x frames)#23Accuracy: 63.6
video-question-answering-on-mlvuQwen2.5-VL-7B (GRPO, concise reason, trained with token compression & 6x frames)#45Accuracy: 67.0
video-question-answering-on-mvbenchQwen2.5-VL-7B (GRPO, concise reason, trained with token compression & 6x frames)#48Avg.: 65.6
video-question-answering-on-lvbenchQwen2.5-VL-7B (GRPO, concise reason, trained with token compression & 6x frames)#51Accuracy: 38.9