Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence

In three linesTheoretical and empirical study of parameter-based knowledge editing limits in LLMs. Authors prove via dimensional collapse hypothesis that localized modifications propagate global interference degrading model capabilities. Retrieval-based methods consistently outperform parameter-editing approaches.

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