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.
SSS : Editing Factual Knowledge in Language Models towards Semantic Sparse Space
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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.