EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models
arXiv:2603.19532v1 Announce Type: new Abstract: Large Language Models (LLMs) are fluent but prone to hallucinations, producing answers that appear plausible yet are unsupported by available …
J. Ben Tamo, Yuxing Lu, Benoit L. Marteau, Micky C. Nnamdi, May D. Wang
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