Hallucination detection: Robustly discerning reliable answers in Large Language Models

• Main Authors: CHEN, Yuyuan, FU, Qiang, YUAN, Yichen, WEN, Zhihao, FAN, Ge, LIU, Dayiheng, ZHANG, Dongmei, LI, Zhixu, XIAO, Yanghua
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: Hallucination Detection; Large Language Models; Reliable Answers; Artificial Intelligence and Robotics; Numerical Analysis and Scientific Computing; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/8464; https://ink.library.smu.edu.sg/context/sis_research/article/9467/viewcontent/3583780.3614905_pv.pdf
• Institution: Singapore Management University

Large language models (LLMs) have gained widespread adoption in various natural language processing tasks, including question answering and dialogue systems. However, a major drawback of LLMs is the issue of hallucination, where they generate unfaithful or inconsistent content that deviates from the...