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Paper Proposes Self-Play Method for Training AI Assistants When to Ask Clarifying Questions
A new arXiv preprint introduces a method that teaches AI assistants how to handle ambiguous or underspecified user requests. The approach uses collaborative self-play to learn a steerable policy that decides between answering directly, listing several possible interpretations, or asking the user for clarification. The goal is to improve how systems manage uncertainty in dialogue rather than guessing wrong.