Papers with LLM-generated text detection methods

1 papers
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features (2024.emnlp-main)

Copied to clipboard

Challenge: Large language models (LLMs) have revolutionized the field of natural language processing because of their excellent performance on various tasks.
Approach: They propose a black-box method with better generalizability for detecting LLM-generated text by mining the intrinsic features of the text to be detected.
Outcome: The proposed method achieves 7.36% and 2.84% improvement in detection performance compared to baselines in detecting texts from different domains generated by GPT-4 and Claude3 respectively.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations