Mathematical Olympiad

Mathematical Olympiads, high-level mathematics competitions for students, serve as a benchmark for evaluating artificial intelligence's problem-solving capabilities, particularly in areas like geometry, algebra, and general mathematical reasoning. Current research focuses on developing and applying large language models (LLMs), Monte Carlo Tree Search (MCTS) algorithms, and symbolic methods like Wu's method to solve Olympiad-level problems, often using newly created datasets of formalized problems. Success in this area demonstrates progress in automated reasoning and could lead to advancements in AI-driven education and tutoring systems, particularly in regions with limited educational resources.