Papers by Eisaku Maeda
Knowledge Editing of Large Language Models Unconstrained by Word Order (2024.acl-srw)
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| Challenge: | Existing methods for identifying knowledge neurons for large language models have been challenging for black-boxed models . a new method is proposed to edit the knowledge held by the LLMs . |
| Approach: | They propose a method that identifies the knowledge neurons that encode the target knowledge and adjusts the parameters associated with these neurons to update the knowledge. |
| Outcome: | The proposed method outperforms existing methods on English and Japanese . it eliminates word order constraints and allows flexible locating regardless of the language . |