An empirical study to evaluate AIGC detectors on code content

An empirical study to evaluate AIGC detectors on code content

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9724
https://ink.library.smu.edu.sg/context/sis_research/article/10724/viewcontent/3691620.3695468.pdf

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