SOURCE-LINKED INTELLIGENCE
PhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems?
Understanding how (multimodal) large language models perform on physics problems requires benchmarks that reflect the difficulty and breadth of expert-level physical reasoning. Existing physics benchmarks remain limited in the following two important ways: (1) short of high-difficulty datasets, and (2) lack of comprehensive coverage of visual forms, knowledge points, and step-by-step solution processes. As a result, model performance on current datasets may not be fully representative of their ability to solve complex physics problems. To address these issues, we present PhysElite, a large-sca
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T19:48:42.000Z
First collected: 2026-09-21T09:42:05.193Z. This is not the publication date.