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Beyond LLM Judge: Mechanical Verification for Agentic Autoformalization

Mei 2026-10-14
Anna MeiMichael R. Douglas

We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness. Unlike most verification methods, which rely on LLMs or trained models, our method combines LLM-based semantic review with mechanical numerical and vacuity checks, providing checkable feedback and detecting errors missed by LLM judges. We apply this method, along with our Extract-Verify-Proof au

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Key Contributions

  • We introduce a novel method for verifying Lean formalizations that goes beyond LLM-judged faithfulness.
  • Unlike most verification methods, which rely on LLMs or trained models, our method combines LLM-based semantic review with mechanical numerical and vacuity checks, providing checkable feedback and detecting errors missed by LLM judges.
  • We apply this method, along with our Extract-Verify-Proof au

Research Themes

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