QMFOL generates monadic first-order logic tasks with controllable complexity via pattern-based structures and round-trip prover verification, then evaluates six LRMs showing performance drops as logical depth and width increase.
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QMFOL: Benchmarking Large Language Model Reasoning via Quantifiable Monadic First-Order Logic Test Case Generation
QMFOL generates monadic first-order logic tasks with controllable complexity via pattern-based structures and round-trip prover verification, then evaluates six LRMs showing performance drops as logical depth and width increase.