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20182025
most citedOpportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

372 citations · 1.8k across the 28 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.IR2023★ 167 cited

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

Qiao Jin, Won Kim, Qingyu Chen +4

Information retrieval (IR) is essential in biomedical knowledge acquisition and clinical decision support. While recent progress has shown that language model encoders perform bett…

cs.CL2023

BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous Datasets

Po-Ting Lai, Chih-Hsuan Wei, Ling Luo +2

Biomedical relation extraction (RE) is the task of automatically identifying and characterizing relations between biomedical concepts from free text. RE is a central task in biomed…

cs.CY2023★ 372 cited

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

Shubo Tian, Qiao Jin, Lana Yeganova +11

ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergenc…

cs.CL2023★ 174 cited

GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information

Qiao Jin, Yifan Yang, Qingyu Chen +1

While large language models (LLMs) have been successfully applied to various tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific tools such…

cs.CL2023★ 172 cited

Benchmarking large language models for biomedical natural language processing applications and recommendations

Qingyu Chen, Yan Hu, Xueqing Peng +18

The rapid growth of biomedical literature poses challenges for manual knowledge curation and synthesis. Biomedical Natural Language Processing (BioNLP) automates the process. While…

cs.CV2023★ 2 cited

Interpretable Medical Image Visual Question Answering via Multi-Modal Relationship Graph Learning

Xinyue Hu, Lin Gu, Kazuma Kobayashi +6

Medical visual question answering (VQA) aims to answer clinically relevant questions regarding input medical images. This technique has the potential to improve the efficiency of m…

cs.CL2023★ 16 cited

Bioformer: an efficient transformer language model for biomedical text mining

Li Fang, Qingyu Chen, Chih-Hsuan Wei +2

Pretrained language models such as Bidirectional Encoder Representations from Transformers (BERT) have achieved state-of-the-art performance in natural language processing (NLP) ta…