Papers by Marcin Detyniecki
SAKE: Steering Activations for Knowledge Editing (2025.acl-long)
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| Challenge: | Large Langue Models memorize facts, but they suffer from several limitations . Using a single input prompt is insufficient to capture the complexity of the knowledge scope affected by edits. |
| Approach: | They propose a steering activation method that models a fact to be edited as a distribution rather than a single prompt. |
| Outcome: | The proposed method can perform more robust edits than existing methods. |