Do LLMs make more mistakes if they do not believe the input data?
Read the original at arxiv.org→arXiv:2609.09363v1 Announce Type: new Abstract: Large language models (LLMs) are prone to hallucinating or misinterpreting facts, which impairs their usability in retrieval-augmented generation or data-to-text...
Original headline: "Do LLMs Make More Mistakes If They Do Not Believe the Input Data?"
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- Sep 10, 04:00 UTC arXiv cs.CL lead source Do LLMs Make More Mistakes If They Do Not Believe the Input Data?