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20222026
most citedModel Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

4 citations · 6 across the 7 of their papers we have counts for

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cs.LG2026

Multiplicative Orthogonal Sequential Editing for Language Models

Hao-Xiang Xu, Jun-Yu Ma, Ziqi Peng +3

Knowledge editing aims to efficiently modify the internal knowledge of large language models (LLMs) without compromising their other capabilities. The prevailing editing paradigm,…