LLMs display inconsistent factual recall across different surface forms of the same entity, with greater robustness to minor spelling changes than to aliases or abbreviations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =
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Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms
LLMs display inconsistent factual recall across different surface forms of the same entity, with greater robustness to minor spelling changes than to aliases or abbreviations.