AINeutralarXiv – CS AI · Apr 207/10
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Why Fine-Tuning Encourages Hallucinations and How to Fix It
Researchers identify that supervised fine-tuning of large language models increases hallucinations by degrading pre-existing knowledge through semantic interference. The study proposes self-distillation and parameter freezing techniques to mitigate this problem while preserving task performance.