most citedHuatuoGPT, towards Taming Language Model to Be a Doctor

20 citations · 63 across the 13 of their papers we have counts for

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cs.CL20231 cited

On the Difference of BERT-style and CLIP-style Text Encoders

Zhihong Chen, Guiming Hardy Chen, Shizhe Diao +2

Masked language modeling (MLM) has been one of the most popular pretraining recipes in natural language processing, e.g., BERT, one of the representative models. Recently, contrast…

cs.CL202320 cited

HuatuoGPT, towards Taming Language Model to Be a Doctor

Hongbo Zhang, Junying Chen, Feng Jiang +10

In this paper, we present HuatuoGPT, a large language model (LLM) for medical consultation. The core recipe of HuatuoGPT is to leverage both \textit{distilled data from ChatGPT} an…

cs.CL20231 cited

Injecting Knowledge into Biomedical Pre-trained Models via Polymorphism and Synonymous Substitution

Hongbo Zhang, Xiang Wan, Benyou Wang

Pre-trained language models (PLMs) were considered to be able to store relational knowledge present in the training data. However, some relational knowledge seems to be discarded u…

cs.CL202313 cited

Huatuo-26M, a Large-scale Chinese Medical QA Dataset

Jianquan Li, Xidong Wang, Xiangbo Wu +6

In this paper, we release a largest ever medical Question Answering (QA) dataset with 26 million QA pairs. We benchmark many existing approaches in our dataset in terms of both ret…

cs.CL202320 cited

Phoenix: Democratizing ChatGPT across Languages

Zhihong Chen, Feng Jiang, Junying Chen +11

This paper presents our efforts to democratize ChatGPT across language. We release a large language model "Phoenix", achieving competitive performance among open-source English and…