Deliberative Searcher integrates retrieval search, multi-step verification, and RL training with a soft reliability constraint to improve alignment between LLM confidence and correctness in open-domain QA.
In Findings of the Association for Computa- tional Linguistics: ACL 2025 , pages 20090–20111
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Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with constraints
Deliberative Searcher integrates retrieval search, multi-step verification, and RL training with a soft reliability constraint to improve alignment between LLM confidence and correctness in open-domain QA.