P1-VL: Bridging Visual Perception and Scientific Reasoning in Physics Olympiads
The transition from symbolic manipulation to science-grade reasoning represents a pivotal frontier for Large Language Models (LLMs), with physics serving as the critical test anchor for binding abstract logic to physical reality. Physics demands that a model maintain physical consistency with the laws governing the universe, a task that fundamentally requires multimodal perception to ground abstract logic in reality. At the Olympiad level, diagrams are often constitutive rather than illustrative, containing essential constraints, such as boundary conditions and spatial symmetries, that are absent from the text. To bridge this visual-logical gap, we introduce P1-VL, a family of open-source...
| Authors | Yun Luo, Futing Wang, Qianjia Cheng et al. |
|---|---|
| Primary category | cs.AI |
| Published | 10 February 2026 |
| Last updated at source | 10 February 2026 |
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