Papers by XiaoHua Feng
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models (2024.emnlp-main)
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| Challenge: | Existing studies on knowledge unlearning focus on computer vision but extend their exploration to other fields. |
| Approach: | They propose an adaptive objective that calculates gradients with fine-grained control specifically targeting sensitive tokens. |
| Outcome: | The proposed method improves the general ability of language models while achieving knowledge unlearning. |