AINeutralarXiv – CS AI · 7h ago6/10
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Knowing When to Ask: Self-Gated Clarification for Hierarchical Language Agents
Researchers propose ACTION-RATING, a framework enabling hierarchical AI agents to recognize uncertainty and request clarification as a direct action competing with navigation decisions. Testing on a 30,000-node taxonomy shows information-seeking effectiveness rising from 50% to 74% as agents shift from mandatory to opportunistic clarification modes, with accuracy gains up to 16.2%.