Papers with query-wise personalization framework
ExPerT: Personalizing LLM Responses to Users’ Domain Expertise via Query-Wise Semantic and Keystroke Behavioral Cues (2026.acl-long)
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| Challenge: | Existing personalization methods relying on static profiles or text-only signals fail to capture query-specific expertise variation. |
| Approach: | They propose a query-wise personalization framework that adapts LLM responses to query domain expertise by combining semantic and behavioral cues. |
| Outcome: | ExPerT reduces expertise inference error by 65.7% compared to the strongest baseline and improves response satisfaction by 17.52% on a 5-point Likert scale. |