AI RESEARCH
The PROPER Approach to Proactivity: Benchmarking and Advancing Knowledge Gap Navigation
arXiv CS.LG
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ArXi:2601.09926v3 Announce Type: replace Current approaches to proactive assistance move beyond the ask-and-respond paradigm by anticipating user needs. In practice, they either burden users with clarifying questions or rely on context-based extrapolation, often leading to unnecessary or mistimed interventions. Such systems lack explicit mechanisms to model users' knowledge gaps, resulting in incomplete or suboptimal task outcomes. To address this, we propose PROPER, a framework that explicitly models user-specific knowledge gaps in a controlled manner.