An empirical study to evaluate AIGC detectors on code content

• Main Authors: WANG, Jian, LIU, Shangqing, XIE, Xiaofei, LI, Yi
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: AIGC Detection; Code Generation; Large Language Model; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/9724; https://ink.library.smu.edu.sg/context/sis_research/article/10724/viewcontent/3691620.3695468.pdf
• Institution: Singapore Management University

Artificial Intelligence Generated Content (AIGC) has garnered considerable attention for its impressive performance, with Large Language Models (LLMs), like ChatGPT, emerging as a leading AIGC model that produces high-quality responses across various applications, including software development and...