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20212023
most citedBiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

260 citations · 662 across the 12 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023★ 8 cited

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering

Yucheng Shi, Shaochen Xu, Tianze Yang +5

Large Language Models (LLMs), although powerful in general domains, often perform poorly on domain-specific tasks such as medical question answering (QA). In addition, LLMs tend to…

cs.CL2023★ 260 cited

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Kai Zhang, Rong Zhou, Eashan Adhikarla +20

Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to ut…

cs.CL2023★ 79 cited

Differentiate ChatGPT-generated and Human-written Medical Texts

Wenxiong Liao, Zhengliang Liu, Haixing Dai +8

Background: Large language models such as ChatGPT are capable of generating grammatically perfect and human-like text content, and a large number of ChatGPT-generated texts have ap…

cs.CL2023★ 67 cited

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Chong Ma, Zihao Wu, Jiaqi Wang +13

The 'Impression' section of a radiology report is a critical basis for communication between radiologists and other physicians, and it is typically written by radiologists based on…

cs.CL2023

Rethinking the Reasonability of the Test Set for Simultaneous Machine Translation

Mengge Liu, Wen Zhang, Xiang Li +4

Simultaneous machine translation (SimulMT) models start translation before the end of the source sentence, making the translation monotonically aligned with the source sentence. Ho…

cs.CL2023★ 45 cited

Mask-guided BERT for Few Shot Text Classification

Wenxiong Liao, Zhengliang Liu, Haixing Dai +11

Transformer-based language models have achieved significant success in various domains. However, the data-intensive nature of the transformer architecture requires much labeled dat…

cs.CL2023★ 89 cited

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4

Zhengliang Liu, Yue Huang, Xiaowei Yu +15

The digitization of healthcare has facilitated the sharing and re-using of medical data but has also raised concerns about confidentiality and privacy. HIPAA (Health Insurance Port…