Search Spins

LAPO: Leave-One-Turn Attribution for Self-Generated Process Rewards in Multi-Turn Search Reasoning

LAPO is a new reinforcement learning method for multi-turn search reasoning that uses backward leave-one-turn attribution to generate process-level rewards without external models or judges, improving exact-match accuracy on knowledge-intensive QA tasks.