Papers by Hong Kyu Lee
Direct Token Optimization: A Self-Contained Approach to Large Language Model Unlearning (2026.findings-acl)
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| Challenge: | Existing methods for large language models (LLMs) rely on external resources such as auxiliary models, retain datasets, or even commercial AI services. |
| Approach: | They propose a self-contained unlearning approach that optimizes the token-level objectives to unlearn specific sequences without external resources. |
| Outcome: | The proposed approach improves the forget quality up to 16.8 over the latest benchmarks while maintaining comparable model utility. |