EvaOmni: an evidence-grounded benchmark for audio-visual reasoning in omnimodal LLMs
VisionXLab · hf · 2026-10-21
Led by Shanghai Jiao Tong University with Fudan, Tsinghua and Tencent Youtu Lab, EvaOmni is an evidence-grounded benchmark that requires omnimodal language models to identify audio-visual evidence and construct reasoning chains when answering audiovisual questions, rather than judging final answers alone.
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