activity
20242026
most citedFake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities

5 citations · 6 across the 3 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.CL2025

Dissecting Role Cognition in Medical LLMs via Neuronal Ablation

Xun Liang, Huayi Lai, Hanyu Wang +5

Large language models (LLMs) have gained significant traction in medical decision support systems, particularly in the context of medical question answering and role-playing simula…

cs.CL20241 cited

HRDE: Retrieval-Augmented Large Language Models for Chinese Health Rumor Detection and Explainability

Yanfang Chen, Ding Chen, Shichao Song +5

As people increasingly prioritize their health, the speed and breadth of health information dissemination on the internet have also grown. At the same time, the presence of false h…

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.CL20245 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.…