Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving

ArXi:2510.00919v3 Announce Type: replace-cross Retrieval-augmented generation (RAG) with foundation models has achieved strong performance across diverse tasks, but their capacity for expert-level reasoning-such as solving Olympiad-level physics problems-remains largely unexplored. Inspired by the way students prepare for competitions by reviewing past problems, we investigate the potential of RAG to enhance physics reasoning in foundation models. We