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Towards Automated Verification of LLM-Synthesized C Programs

Talkat CoqPL 2025 · on Saturday, 2025-01-25· [large-language-models]
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SYNVER is a pipeline that uses GPT-4 to synthesize C programs and a Verified Software Toolchain backend with an Ltac layer called SEauto to discharge proofs. On a 50-program benchmark GPT-4 produces correct code for all but one case; automation verifies most proofs but generates side conditions requiring human steps. Biases (no loops, prefer recursion) matter: without them 24 of 26 recursive tasks become loops; separation-logic success rises from 12 to 20 when prompts include precise English specs.

AI-written summary · about

  1. 0:00SynVer introduction
  2. 1:05Motivation for LLM guarantees
  3. 3:10Demo of SynVer verification
  4. 5:15SynVer workflow and architecture
  5. 7:42SE auto verification proofs
  6. 10:29Experimental results
  7. 12:38Biases in generated programs
  8. 13:19SE auto user assistance
  9. 14:23Comparison with PharmaC, Very Fast, RefineC
  10. 15:48Prompt component sensitivity
  11. 17:35Conclusion and future directions
  12. 18:58Q&A
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