Physics-R1: An Audited Olympiad Corpus and Released Verifiers for Visual Physics Reasoning
Trackable improvement in multimodal physics reasoning rests on a training-and-evaluation system that is itself rarely verified: the corpora a model trains on, the reward it is optimized against, and the benchmarks and judges that score it. We audit this system end to end and find that standard construction practices systematically distort measurement: contamination slips past n-gram deduplication, translation degrades problems, saturated multiple-choice formats overstate capability, partial-credit training rewards are easier to exploit than to earn, and open-ended grading silently depends on the choice of judge. Left unverified, these distortions inflate reported progress and leak test kn...
| Authors | Shan Yang |
|---|---|
| Primary category | cs.CL |
| Published | 13 May 2026 |
| Last updated at source | 28 August 2026 |
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- shanyangmie/physics-r1-eval-outputsDataset · cited by
- shanyangmie/physr1corpDataset · cited by
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