Papers by Xinrui Ren
Decoding-Unlearning: Fact Forgetting via Entropy-Guided Inference (2026.acl-long)
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| Challenge: | Existing methods for large-scale modeling memorize sensitive information . however, they are limited in real-world scenarios and require updating parameters . |
| Approach: | They propose a training-free, plug-and-play inference-time unlearning strategy that uses a probe to detect queries involving forgettable concepts and applies entropy-guided decoding to suppress target knowledge. |
| Outcome: | Experiments on MUSE, RWKU, and WMDP datasets show that SEGUE outperforms existing methods. |