AI RESEARCH
EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
arXiv CS.LG
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ArXi:2603.19532v1 Announce Type: cross Large Language Models (LLMs) are fluent but prone to hallucinations, producing answers that appear plausible yet are uned by available evidence. This failure is especially problematic in high-stakes domains where decisions must be justified by verifiable information. We