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TempCloze: Can Video-LLMs Identify the Missing Middle?

Pei, Wenqi et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from option wording, answer correlations, or language priors. To reduce such shortcuts, we introduce TempCloze, a video cloze benchmark for evaluating visual temporal reasoning in Video
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