Papers by Clara Haya Suslik
Precise In-Parameter Concept Erasure in Large Language Models (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for erasing concepts from model parameters are either too coarse, shallow or ineffective. |
| Approach: | They propose a framework for precisely erasing entire concepts from model parameters by directly editing directions that encode them in parameter space. |
| Outcome: | The proposed framework reduces errors on the target concept to as low as 7.7% while improving specificity and robustness. |