Harnessing Code Agents for Automatic Software Verification

Formal verification offers the strongest guarantee of software correctness, but it does not scale: the proofs demanded by interactive theorem provers such as Coq require enormous expert effort. Large language models (LLMs) promise to generate these proofs automatically, yet existing approaches wire a fixed, human-designed proof strategy into the system and constrain the model to follow it (retrieving premises and predicting tactics one step at a time, or splitting goals by divide-and-conquer), and still prove only a fraction of their target theorems.

Summary generated by The Flow from the publisher's feed. The full article lives at Hugging Face Trending Papers.

• llms
• agents
• benchmarks