C-Net: A Compression-Based Lightweight Network for Machine-Generated Text Detection
Author:
Affiliation:
1. College of Information and Electrical Engineering, China Agricultural University, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/97/10380231/10508945.pdf?arnumber=10508945
Reference36 articles.
1. Assaying on the robustness of zero-shot machine-generated text detectors;Zhang,2023
2. Adapting fake news detection to the era of large language models;Su,2024
3. Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-Based Detection
4. AuthentiGPT: Detecting machine-generated text via black-box language models denoising;Guo,2023
5. On the generalization of training-based chatGPT detection methods;Xu,2023
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