Mathematical Problem Solving

Mathematical problem-solving research focuses on enabling artificial intelligence to effectively solve mathematical problems, mirroring human cognitive abilities. Current efforts concentrate on developing and refining large language models (LLMs) and multimodal models, often incorporating techniques like chain-of-thought prompting, program-of-thought reasoning, and multi-agent systems to enhance reasoning capabilities and handle complex, multi-step problems. These advancements are driven by the creation of increasingly diverse and challenging datasets, and aim to improve the accuracy and interpretability of AI-driven solutions. The ultimate goal is to create robust AI systems capable of tackling a wide range of mathematical problems, with implications for education, scientific discovery, and various technological applications.