Search Results for author:
Found 4 papers, 3 papers with code
Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework
Large language models (LLMs) have transformed human writing by enhancing grammar correction, content expansion, and stylistic refinement.
Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT
The increasing prevalence of large language models (LLMs) has significantly advanced text generation, but the human-like quality of LLM outputs presents major challenges in reliably distinguishing between human-authored and LLM-generated texts.
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
In recent years, generative artificial intelligence models, represented by Large Language Models (LLMs) and Diffusion Models (DMs), have revolutionized content production methods.
CAT-LLM: Prompting Large Language Models with Text Style Definition for Chinese Article-style Transfer
Text style transfer is increasingly prominent in online entertainment and social media.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
