Papers by Seungjoon Lee
Comparison-based Active Preference Learning for Multi-dimensional Personalization (2025.acl-long)
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| Challenge: | Large language models have shown remarkable success, but aligning them with human preferences remains a core challenge. |
| Approach: | They propose to capture implicit user preferences from comparative feedback to improve model performance. |
| Outcome: | The proposed framework is able to capture implicit user preferences from comparative feedback. |