GSM-SEM generates reusable, stochastic semantic variants of math reasoning benchmarks that alter underlying facts but preserve answers, producing larger LLM performance drops than prior surface-level variants.
Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) , pages=
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GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations
GSM-SEM generates reusable, stochastic semantic variants of math reasoning benchmarks that alter underlying facts but preserve answers, producing larger LLM performance drops than prior surface-level variants.