作者位次 #9/11ACL 2026Poster· Natural Language Processing
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
Changdae Oh · Seongheon Park · To Eun Kim · Jiatong Li · Wendi Li · Samuel Yeh · Sean Du · Hamed Hassani · Paul Bogdan · Dawn Song · Sharon Li
摘要
Uncertainty quantification (UQ) for large language models (LLMs) is a key building block for safety guardrails of daily LLM applications. Yet, even as LLM agents are increasingly deployed in highly complex tasks, most UQ research still centers on single-turn question-answering. We argue that UQ r...