作者位次 #3/6ACL 2026Findings· Findings of ACL
IDEA : An Interpretable and Editable Decision-Making Framework for LLM s via Verbal-to-Numeric Calibration
Yanji He · Yuxin Jiang · Yiwen Wu · Bo Huang · Jiaheng Wei · Wei Wang
摘要
Large Language Models are increasingly deployed for decision-making, yet their adoption in high-stakes domains remains limited by miscalibrated probabilities, unfaithful explanations, and inability to incorporate expert knowledge precisely. We propose IDEA , a framework that extracts LLM decision...