activity
20192024
most citedFine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text

14 citations · 22 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024

MedOdyssey: A Medical Domain Benchmark for Long Context Evaluation Up to 200K Tokens

Yongqi Fan, Hongli Sun, Kui Xue +3

Numerous advanced Large Language Models (LLMs) now support context lengths up to 128K, and some extend to 200K. Some benchmarks in the generic domain have also followed up on evalu…

cs.CL2024★ 2 cited

Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models

Zhongzhen Huang, Kui Xue, Yongqi Fan +5

Large-scale language models (LLMs) have achieved remarkable success across various language tasks but suffer from hallucinations and temporal misalignment. To mitigate these shortc…

cs.CL2023★ 1 cited

MidMed: Towards Mixed-Type Dialogues for Medical Consultation

Xiaoming Shi, Zeming Liu, Chuan Wang +4

Most medical dialogue systems assume that patients have clear goals (medicine querying, surgical operation querying, etc.) before medical consultation. However, in many real scenar…

cs.CL2022★ 2 cited

AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model

Yongyu Yan, Kui Xue, Xiaoming Shi +3

Continual pretraining is a popular way of building a domain-specific pretrained language model from a general-domain language model. In spite of its high efficiency, continual pret…

cs.CL2022★ 2 cited

FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer

Jingping Liu, Yuqiu Song, Kui Xue +6

Prompt tuning is an emerging way of adapting pre-trained language models to downstream tasks. However, the existing studies are mainly to add prompts to the input sequence. This wa…

cs.CL2021★ 1 cited

A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization

Ming Liang, Kui Xue, Tong Ruan

Medical terminology normalization aims to map the clinical mention to terminologies come from a knowledge base, which plays an important role in analyzing Electronic Health Record(…

cs.CL2019★ 14 cited

Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text

Kui Xue, Yangming Zhou, Zhiyuan Ma +3

Entity and relation extraction is the necessary step in structuring medical text. However, the feature extraction ability of the bidirectional long short term memory network in the…