most citedScore-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance

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cs.CL2024

Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models

Cheng-Hsun Hsueh, Paul Kuo-Ming Huang, Tzu-Han Lin +4

Knowledge editing is a rising technique for efficiently updating factual knowledge in large language models (LLMs) with minimal alteration of parameters. However, recent studies ha…