activity
20222026
most citedMulti-modal Contrastive Representation Learning for Entity Alignment

26 citations · 132 across the 36 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

5 papers · 2 filters

cs.CL2024★ 1 cited

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding

Derong Xu, Ziheng Zhang, Zhihong Zhu +7

The impressive capabilities of large language models (LLMs) have attracted extensive interests of applying LLMs to medical field. However, the complex nature of clinical environmen…

cs.CL2024★ 2 cited

MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding

Jiageng Wu, Xian Wu, Yefeng Zheng +1

With appropriate data selection and training techniques, Large Language Models (LLMs) have demonstrated exceptional success in various medical examinations and multiple-choice ques…

cs.CL2024★ 10 cited

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models

Derong Xu, Ziheng Zhang, Zhenxi Lin +6

Knowledge graph completion (KGC) is a widely used method to tackle incompleteness in knowledge graphs (KGs) by making predictions for missing links. Description-based KGC leverages…

cs.CL2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models

Derong Xu, Ziheng Zhang, Zhihong Zhu +9

Model editing aims to precisely alter the behaviors of large language models (LLMs) in relation to specific knowledge, while leaving unrelated knowledge intact. This approach has p…

cs.CL2024★ 1 cited

Biomedical Entity Linking as Multiple Choice Question Answering

Zhenxi Lin, Ziheng Zhang, Xian Wu +1

Although biomedical entity linking (BioEL) has made significant progress with pre-trained language models, challenges still exist for fine-grained and long-tailed entities. To addr…