PhysFieldBench: Can Multimodal Models Understand Physical Fields?

Name: PhysFieldBench: Can Multimodal Models Understand Physical Fields?
Uploaded: 2026-10-10T17:23:34.974092+00:00
Duration: 921 s
Description: PhysFieldBench tests if Multimodal Large Language Models (MLLMs) can understand physical fields embedded in data. The benchmark involves 24 tasks across three field types, measuring mechanism, control, and outcome inference. Results show low zero-shot performance; models struggle to ground visual patterns into correct physical interpretations without structured reasoning like Chain-of-Thought.

PhysFieldBench tests if Multimodal Large Language Models (MLLMs) can understand physical fields embedded in data. The benchmark involves 24 tasks across three field types, measuring mechanism, control, and outcome inference. Results show low zero-shot performance; models struggle to ground visual patterns into correct physical interpretations without structured reasoning like Chain-of-Thought.

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