hierarchical agents

Self-Gated Clarification Method Boosts AI Accuracy in Complex Tariff Classification

Researchers propose ACTION-RATING, a self-gated clarification formulation that enables hierarchical language agents to decide when to ask for help during decision-making. Tested on Harmonized Tariff Schedule classification across nine LLMs, the method improved Information-Seeking Effectiveness from 50% to 74% and achieved up to +16.2% accuracy gains at the 10-digit level.