Benchmark reveals AV-LLMs encode but fail to verbalize manipulation evidence

AV-FABLE provides 16,650 pristine–manipulated video pairs with separate audio and visual timelines; supervised readouts of frozen features outperform zero-shot prompting.

Top University
Yuesheng Huang · Hoi Fan Au · Jiaqi Hou · Ruicheng Zhang · Jiarui He · Haocheng Yang · +5 more

Tsinghua University · Peking University

Research Digest··3 min read
Illustration: Benchmark reveals AV-LLMs encode but fail to verbalize manipulation evidence
The authors introduce AV-FABLE, a dual-timeline benchmark for detecting sparse audio-visual manipulations in long-form videos.

The authors constructed AV-FABLE, a benchmark of 16,650 pristine–manipulated twin video pairs totaling 998 hours, with 27 editing configurations covering sparse manipulations of speech, sounds, actions, and objects in open-scene long-form videos.

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