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Data-Driven Lemma Synthesis for Interactive Proofs

Talkat OOPSLA 2022 · 2022-12-05..12-10· [machine-learning]
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A tool called lfind as a Coq tactic reduces lemma synthesis to a data-driven program synthesis problem: it generalizes a stuck goal, generates input/output examples from the proof state, fills lemma holes with an example-based synthesizer, filters candidates with property-based testing, and ranks results. Evaluation across 232 benchmark locations from four suites finds useful lemmas in 68% success rate, often matching human lemmas or enabling a full proof; it uses myth synthesizer and QuickCheck and averages about five minutes per query (category‑one stops in ~1 minute).

AI-written summary · about

  1. 0:00Foundational verification intro
  2. 2:52How verification works
  3. 4:17Goal of lemma synthesis
  4. 6:00L5 lemma synthesis tool
  5. 8:26Lemma synthesis challenges
  6. 13:21L5 performance benchmarking
  7. 16:55Runtime and optimizations
  8. 17:58Related work and limits
  9. 18:41Future directions for L5
  10. 19:01Conclusion and Q&A
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