1 citations · 3 across the 8 of their papers we have counts for
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Ke Xu, Yuhao Wang, Ziyang Cheng +3
Multi-hop audio-visual reasoning remains challenging for Omni-LLMs, as relevant evidence is often sparse, temporally dispersed, and distributed across both audio and visual streams…