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Propose to Learn, Learn to Propose: Evaluability-Aware Assistance under Bounded Rationality
AI assistants often collaborate by proposing candidate edits, plans, or designs that users evaluate before adoption. Existing assistance methods focus on proposal quality or user-goal inference, often assuming that the user can reliably evaluate any proposal, which can fail in practice because of bo
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