26 citations · 132 across the 36 of their papers we have counts for
6 papers · 2 filters
Improving Biomedical Entity Linking with Retrieval-enhanced Learning
Zhenxi Lin, Ziheng Zhang, Xian Wu +1
Biomedical entity linking (BioEL) has achieved remarkable progress with the help of pre-trained language models. However, existing BioEL methods usually struggle to handle rare and…
Large Language Models for Generative Information Extraction: A Survey
Derong Xu, Wei Chen, Wenjun Peng +7
Information extraction (IE) aims to extract structural knowledge from plain natural language texts. Recently, generative Large Language Models (LLMs) have demonstrated remarkable c…
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning
Wai-Chung Kwan, Huimin Wang, Hongru Wang +4
Dialogue policy learning (DPL) is a crucial component of dialogue modelling. Its primary role is to determine the appropriate abstract response, commonly referred to as the "dialog…
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation
Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong +1
Automatic diagnosis (AD), a critical application of AI in healthcare, employs machine learning techniques to assist doctors in gathering patient symptom information for precise dis…
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries
Jiageng Wu, Xian Wu, Zhaopeng Qiu +5
: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models en…
Exploring Social Media for Early Detection of Depression in COVID-19 Patients
Jiageng Wu, Xian Wu, Yining Hua +3
The COVID-19 pandemic has caused substantial damage to global health. Even though three years have passed, the world continues to struggle with the virus. Concerns are growing abou…