ReverseMath uses answer inversion to generate paired original and reversed math problems with known answers for detecting memorization and improving LLM reasoning via data augmentation.
Paraphrase and Solve: Exploring and Exploiting the Impact of Surface Form on Mathematical Reasoning in Large Language Models
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GSM-SEM is a reusable framework for creating semantically variant augmentations of math benchmarks like GSM8K that alter facts but preserve answers and difficulty, with evaluations showing LLM performance drops of up to 28% on the new variants.
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