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.
Educational and Psycho- logical Measurement20(1), 37–46 (1960) 14 F
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.