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Knowing When to Ask: Self-Gated Clarification for Hierarchical Language Agents

arXiv cs.AI · yesterday Cached

This paper proposes ActionRating, a formulation that places clarification inside an agent's action space on a shared ordinal scale with navigation, enabling two information-seeking modes (mandatory and opportunistic). On hierarchical taxonomy classification benchmarks, experiments with 9 LLMs show that opportunistic clarification improves accuracy and information-seeking effectiveness.

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