5 citations · 5 across the 2 of their papers we have counts for
5 papers · 1 filter
MemEmo: Evaluating Emotion in Memory Systems of Agents
Peng Liu, Zhen Tao, Jihao Zhao +5
Memory systems address the challenge of context loss in Large Language Model during prolonged interactions. However, compared to human cognition, the efficacy of these systems in p…
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…
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…
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.…
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,…