Can LLM generate interesting mathematical research problems?
arXiv cs.AI / 3/20/2026
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Key Points
- The paper is the second in a series examining the mathematical creativity of LLMs and builds on prior criteria and benchmarks for evaluation.
- It develops an agent to generate unknown mathematical problems and reports producing 665 differential geometry problems.
- Human verification indicates many generated problems were unknown to experts, suggesting potential novelty and research value.
- The results imply LLMs can contribute to generating valuable research questions, potentially accelerating mathematical discovery.
- The work provides a benchmark dataset and an evaluation framework for assessing AI-generated mathematical problems.
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