LLM-as-an-Improver paper proposes Verify–Repair–Reselect (VRR) to use verification feedback to generate better candidates
arXiv:2609.19515v1 introduces LLM-as-an-Improver and Verify–Repair–Reselect (VRR), a method that uses verifier feedback not just to rank but to generate and reselect improved candidate solutions. VRR keeps the initial winner, conditionally generates repaired and alternative solutions, filters invalid/duplicate candidates using only inference-time signals, and reselects under the original criteria; the paper reports improvements over fixed-pool verifier selection on multiple models and on code-generation and reasoning benchmarks, including cases where the initial pool contained no correct answers.