MotionHalluc: Diagnosing Kinematic Hallucinations in Fine-Grained Motion Reasoning

MotionHalluc is a benchmark designed to evaluate motion hallucinations in cross‑video comparison tasks, consisting of 1,540 fine‑grained questions over 553 video pairs. It assesses hallucinations across three dimensions—directional, attributional, and temporal—and reveals that current large multimodal models are highly susceptible to these errors. The authors also introduce a training‑free Perceive‑Parse‑Verify baseline that injects explicit kinematic measurements, achieving an average 10.6% performance improvement across models.

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• multimodal
• benchmarks
• safety