SeePhys Pro: Benchmark for Diagnosing Modality Transfer in Physics Reasoning

SeePhys Pro is a benchmark from a paper authored by Kun-Xiang, designed to diagnose modality transfer in multimodal physics reasoning. It evaluates the same underlying physics concepts across progressively more visual representations, making it useful for measuring whether a model grounds its reasoning in diagrams and images rather than text priors. The dataset was last updated on May 13, 2026.

Use Cases

• Benchmarking model reliance on text priors versus visual evidence based on the described progressive visual representations.
• Evaluating modality transfer capabilities in multimodal AI systems for physics reasoning.
• Diagnosing whether a model's reasoning is grounded in diagrams and images as described in the benchmark's purpose.

Strengths

• The benchmark is designed for a specific diagnostic purpose: evaluating modality transfer and blind-training effects.
• It provides a unified framework for evaluating the same physics concepts across multiple visual representations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The full description is hosted externally, requiring a click-through for complete details.

Provenance

Source

Author: Kun-Xiang. Platform: Hugging Face.

Collection Method

Created as a benchmark for a research paper; the gathering method is not specified.

Freshness

Last updated 2026-05-13 06:15:38; freshness should be verified.