PROPER Agents: Proactivity Driven Personalized Agents for Advancing Knowledge Gap Navigation (2026.findings-acl)
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| Challenge: | Current approaches to proactive assistance are anchored in what users express or can read, leading to unnecessary or mistimed interventions. |
| Approach: | They propose a framework that explicitly models user-specific knowledge gaps in a controlled manner. |
| Outcome: | The proposed framework improves on quality scores and win rates across multiple domains, achieving up to 84% gains in single-turn evaluation and consistent dominance in multiturn interactions. |
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