SCHEDBench shows that large language models are not reliably invariant to semantically equivalent natural-language renderings of the same scheduling problem, with constraint reordering producing the clearest above-noise sensitivity.
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SCHEDBench: A Benchmark for Evaluating LLM Constraint Faithfulness in Natural-Language Combinatorial Scheduling
SCHEDBench shows that large language models are not reliably invariant to semantically equivalent natural-language renderings of the same scheduling problem, with constraint reordering producing the clearest above-noise sensitivity.