AI RESEARCH
Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation
arXiv CS.CL
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ArXi:2511.02626v3 Announce Type: replace Prior works have shown that fine-tuning on new knowledge can induce factual hallucinations in large language models (LLMs), leading to incorrect outputs when evaluated on previously known information. However, the specific manifestations of such hallucination and its underlying mechanisms remain insufficiently understood.