activity
20202025
most citedPre-trained Language Models in Biomedical Domain: A Systematic Survey

35 citations · 171 across the 21 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.CL2023★ 3 cited

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria

Wentao Ge, Shunian Chen, Guiming Hardy Chen +14

Multimodal large language models (MLLMs) have broadened the scope of AI applications. Existing automatic evaluation methodologies for MLLMs are mainly limited in evaluating queries…

cs.CL2023★ 6 cited

AceGPT, Localizing Large Language Models in Arabic

Huang Huang, Fei Yu, Jianqing Zhu +17

This paper is devoted to the development of a localized Large Language Model (LLM) specifically for Arabic, a language imbued with unique cultural characteristics inadequately addr…

cs.CL2023★ 4 cited

CMB: A Comprehensive Medical Benchmark in Chinese

Xidong Wang, Guiming Hardy Chen, Dingjie Song +8

Large Language Models (LLMs) provide a possibility to make a great breakthrough in medicine. The establishment of a standardized medical benchmark becomes a fundamental cornerstone…

cs.CV2023★ 1 cited

Advancing Visual Grounding with Scene Knowledge: Benchmark and Method

Zhihong Chen, Ruifei Zhang, Yibing Song +2

Visual grounding (VG) aims to establish fine-grained alignment between vision and language. Ideally, it can be a testbed for vision-and-language models to evaluate their understand…

cs.CV2023★ 2 cited

Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation

Zunnan Xu, Zhihong Chen, Yong Zhang +3

Parameter Efficient Tuning (PET) has gained attention for reducing the number of parameters while maintaining performance and providing better hardware resource savings, but few st…

cs.CL2023★ 1 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.CL2023★ 20 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.CL2023★ 20 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…

cs.CV2023★ 4 cited

Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts

Zhihong Chen, Shizhe Diao, Benyou Wang +2

Medical vision-and-language pre-training (Med-VLP) has shown promising improvements on many downstream medical tasks owing to its applicability to extracting generic representation…

cs.LG2023★ 1 cited

GIPA: A General Information Propagation Algorithm for Graph Learning

Houyi Li, Zhihong Chen, Zhao Li +3

Graph neural networks (GNNs) have been widely used in graph-structured data computation, showing promising performance in various applications such as node classification, link pre…