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Review Oct 2026

EvaOmni: An Evidence-Grounded Benchmark for Audio-Visual Reasoning

Omni LLMs can naturally locate key audio and visual evidence and integrate information across modalities for audiovisual reasoning. Existing audio-visual reasoning benchmarks that mainly rely on multiple-choice questions usually score models solely based on answer correctness, making it difficult to assess whether a mo...

Xiao-Xing Hu, Wen-Xi Yao, Chao-Yuan Shi et al. · 0 citations
Preprint Sep 2026

One Skill Does Not Fit All: Automatic Discovery and Taxonomy-Guided Routing of Frame-Selection Skills for Long-Video Question Answering

Long-Video Question Answering (LVQA) requires locating decisive evidence in hour-scale videos under a limited frame budget. Most training-free methods apply the same frame-selection strategy to all questions, despite substantial variation in the evidence required by different question types. Our analysis shows that the...

Jian Hu, Zixu Cheng, Da Li et al. · 1 citation

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