Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective
Published in arXiv, 2025
Recommended citation: Scaria, N., Kennedy, S. J. J., Agarwal, K., Seth, D., & Subramani, D. Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective. arXiv. https://arxiv.org/abs/2505.20707
This paper examines the physics reasoning capabilities of state-of-the-art Small Language Models from an educational perspective, analyzing 10 SLMs across 58,000 physics problem responses using Bloom’s taxonomy annotations.