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M3-Agent more than triples video-world-model reveal scores by targeting execution

huggingface.co by Weiyang Jin et al. Editor score 8/10

MIST separates setting a scene from carrying out a requested change, identifying execution—not memory—as the bottleneck in its tests; M3-Agent revises instructions and more than triples the MIST reveal score. Separating these failure modes can prevent teams from misdiagnosing model capabilities.

What

MIST separates whether a video world model sets a scene, carries out an instructed change, and shows the result in its final frame.

Method

The evaluation found that models often set the scene but fail to execute the requested change; M3-Agent recursively revises instruction details to address this.

Why it matters

M3-Agent more than triples MIST's reveal score, underscoring the need to distinguish execution failures from memory failures in model evaluations.

Read on huggingface.co → Code · 3 stars

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