arxiv
PublishedApril 21, 2026 at 4:00 AM
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Deliberative Searcher: Improving LLM Reliability via Reinforcement Learning with constraints
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arXiv:2507.16727v3 Announce Type: replace Abstract: Improving the reliability of large language models (LLMs) is critical for deploying them in real-world scenarios. In this paper, we propose \textbf{Deliberative Searcher}, the first framework to integrate certainty calibration with retrieval-based
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Originally published on arxiv ↗