activity
20212023
most citedRadiology-Llama2: Best-in-Class Large Language Model for Radiology

30 citations · 146 across the 16 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.CL2023★ 18 cited

PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models

Chenhao Tang, Zhengliang Liu, Chong Ma +8

Privacy policies serve as the primary conduit through which online service providers inform users about their data collection and usage procedures. However, in a bid to be comprehe…

physics.med-ph2023

Artificial General Intelligence for Radiation Oncology

Chenbin Liu, Zhengliang Liu, Jason Holmes +14

The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can…

physics.med-ph2023★ 11 cited

RadOnc-GPT: A Large Language Model for Radiation Oncology

Zhengliang Liu, Peilong Wang, Yiwei Li +12

This paper presents RadOnc-GPT, a large language model specialized for radiation oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset of radiation…

cs.CL2023★ 30 cited

Radiology-Llama2: Best-in-Class Large Language Model for Radiology

Zhengliang Liu, Yiwei Li, Peng Shu +18

This paper introduces Radiology-Llama2, a large language model specialized for radiology through a process known as instruction tuning. Radiology-Llama2 is based on the Llama2 arch…

cs.CL2023★ 2 cited

NewsDialogues: Towards Proactive News Grounded Conversation

Siheng Li, Yichun Yin, Cheng Yang +7

Hot news is one of the most popular topics in daily conversations. However, news grounded conversation has long been stymied by the lack of well-designed task definition and scarce…

cs.CL2023★ 19 cited

Evaluating Large Language Models for Radiology Natural Language Processing

Zhengliang Liu, Tianyang Zhong, Yiwei Li +43

The rise of large language models (LLMs) has marked a pivotal shift in the field of natural language processing (NLP). LLMs have revolutionized a multitude of domains, and they hav…

cs.CV2023★ 26 cited

SAMAug: Point Prompt Augmentation for Segment Anything Model

Haixing Dai, Chong Ma, Zhiling Yan +14

This paper introduces SAMAug, a novel visual point augmentation method for the Segment Anything Model (SAM) that enhances interactive image segmentation performance. SAMAug generat…

cs.CL2023★ 15 cited

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology

Haixing Dai, Yiwei Li, Zhengliang Liu +14

In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT which…

cs.CL2023★ 21 cited

Radiology-GPT: A Large Language Model for Radiology

Zhengliang Liu, Aoxiao Zhong, Yiwei Li +17

We introduce Radiology-GPT, a large language model for radiology. Using an instruction tuning approach on an extensive dataset of radiology domain knowledge, Radiology-GPT demonstr…

cs.CL2023★ 1 cited

Heterogeneous-Branch Collaborative Learning for Dialogue Generation

Yiwei Li, Shaoxiong Feng, Bin Sun +1

With the development of deep learning, advanced dialogue generation methods usually require a greater amount of computational resources. One promising approach to obtaining a high-…