Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today

no code implementations • 2 Jun 2023 • Zhuo Wang, Rongzhen Li, Bowen Dong, Jie Wang, Xiuxing Li, Ning Liu, Chenhui Mao, Wei zhang, Liling Dong, Jing Gao, Jianyong Wang

In this paper, we explore the potential of LLMs such as GPT-4 to outperform traditional AI tools in dementia diagnosis.

Towards Explainable Meta-Learning for DDoS Detection

no code implementations • 5 Apr 2022 • Qianru Zhou, Rongzhen Li, Lei Xu, Arumugam Nallanathan, Jian Yang, Anmin Fu

With the ever increasing of new intrusions, intrusion detection task rely on Artificial Intelligence more and more.

Intrusion Detection Meta-Learning

CorefDRE: Document-level Relation Extraction with coreference resolution

no code implementations • 22 Feb 2022 • Zhongxuan Xue, Rongzhen Li, Qizhu Dai, Zhong Jiang

Document-level relation extraction is to extract relation facts from a document consisting of multiple sentences, in which pronoun crossed sentences are a ubiquitous phenomenon against a single sentence.

coreference-resolution Document-level Relation Extraction +2