most citedFake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

MemConflict: Evaluating Long-Term Memory Systems Under Memory Conflicts

Zhen Tao, Jinxiang Zhao, Peng Liu +4

Long-term memory systems enable conversational agents based on large language models (LLMs) to retain, retrieve, and apply user-specific information across multi-session interactio…

cs.CL2024

Unveiling Large Language Models Generated Texts: A Multi-Level Fine-Grained Detection Framework

Zhen Tao, Zhiyu Li, Runyu Chen +2

Large language models (LLMs) have transformed human writing by enhancing grammar correction, content expansion, and stylistic refinement. However, their widespread use raises conce…

cs.CL2024

Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT

Zhen Tao, Yanfang Chen, Dinghao Xi +2

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 reliabl…

cs.CL2024★ 5 cited

Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities

Xiaomin Yu, Yezhaohui Wang, Yanfang Chen +5

In recent years, generative artificial intelligence models, represented by Large Language Models (LLMs) and Diffusion Models (DMs), have revolutionized content production methods.…

cs.CL2024

CAT-LLM: Style-enhanced Large Language Models with Text Style Definition for Chinese Article-style Transfer

Zhen Tao, Dinghao Xi, Zhiyu Li +2

Text style transfer plays a vital role in online entertainment and social media. However, existing models struggle to handle the complexity of Chinese long texts, such as rhetoric,…