RESEARCH · RESEARCH · #2174
arXiv paper: verifier feedback can both help and harm self-repair in formal theorem proving
New arXiv paper (arXiv:2610.22698v1) studies verifier-guided self-repair in Lean theorem proving using frozen Qwen3.6-27B and DeepSeek-Prover-V2-7B on MiniF2F problems. It finds that conditioning a model on its failed proof often reduces success and increases copying of the failure, while showing the compiler error can recover performance for Qwen in some settings; overall, no tested feedback condition outperforms simple instruction-only resampling under matched token budgets.
KEY POINTS
- New arXiv paper (arXiv:2610.22698v1) studies verifier-guided self-repair in Lean theorem proving using frozen Qwen3.6-27B and DeepSeek-Prover-V2-7B on MiniF2F problems.
- It finds that conditioning a model on its failed proof often reduces success and increases copying of the failure, while showing the compiler error can recover performance for Qwen in some settings; overall, no tested feedback condition outperforms simple instruction-only resampling under matched token budgets.
- This matters because it clarifies when verifier feedback helps or harms model-driven proof repair, informing design of interactive feedback loops for code and theorem-proving assistants.
WHY IT MATTERS
This matters because it clarifies when verifier feedback helps or harms model-driven proof repair, informing design of interactive feedback loops for code and theorem-proving assistants.