作者位次 #4/10ACL 2026Findings· Findings of ACL
Identifying the Achilles’ Heel: An Iterative Method for Uncovering Factual Errors in Large Language Models
Wenxuan Wang · Yuk-Kit Chan · Zixuan Ling · Shi Juluan · Youliang Yuan · Jen-Tse Huang · Yifei Zhang · Wenxiang Jiao · Zhaopeng Tu · Michael R. Lyu
摘要
Large Language Models (LLMs) like ChatGPT are foundational in various applications due to their extensive knowledge from pre-training and fine-tuning. Despite this, they are prone to generating factual and commonsense errors, raising concerns in critical areas like healthcare, journalism, and edu...