arXiv: cs.AI preprintsInternational5 November 2026
When to Ask, When to Answer: Strategic Clarification for Ambiguous Reference Resolution in Dialogue
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arXiv:2611.05517v1 Announce Type: cross Abstract: For humans, referential disambiguation is a collaborative process involving clarification questions asked when they will meaningfully change the outcome. However, large language models (LLMs) have been shown to be biased toward premature answering, preferring definite single-turn responses over more clarification exchanges. In this paper, we study the problem of "strategic clarification" -- asking clarification questions in a reference game when their answers will narrow the set of candidate referents. We construct a controlled test environment
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