A multi-agent generate-validate-revise framework reduces failures in realism and authenticity for LLM-personalized math problems, with one iteration helping and different strategies varying by criterion.
Advances in Neural Information Processing Systems36, 46534–46594 (2023)
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A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems
A multi-agent generate-validate-revise framework reduces failures in realism and authenticity for LLM-personalized math problems, with one iteration helping and different strategies varying by criterion.