Large vision-language models (LVLMs) such as Qwen-VL series have demonstrated strong capabilities in visual understanding and reasoning, particularly for static images. However, extending them to video reasoning remains computationally expensive, often incurring substantial latency and token usage under conventional Ch...
Zhao-Yang Wei, Wen-Chao Ding, Chen-Hui Qiang et al.· Proceedings of the 34th ACM...· 0 citations
Large vision-language models (LVLMs) such as Qwen-VL series have demonstrated strong capabilities in visual understanding and reasoning, particularly for static images. However, extending them to video reasoning remains computationally expensive, often incurring substantial latency and token usage under conventional Ch...
Zhao-Yang Wei, Wen-Chao Ding, Chen-Hui Qiang et al.· 0 citations
Video-HolmesV2 is presented, a novel benchmark designed for Deep Audio-Visual Coupling that enforces an Evidence-Based Evaluation, requiring models to justify answers with precise spatio-temporal audio-visual evidence, thereby reducing confounding effects of guessing and hallucinated evidence.
Zhao-Yang Wei, Zi-Peng Wang, Yu-She Cao et al.· 0 citations
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