Zhengliang Liu

Summary of ChatGPT-Related research and perspective towards the future of large language models

2023 · 687 Zit. · Meta-Radiology

Evaluating large language models on a highly-specialized topic, radiation oncology physics

2023 · 133 Zit. · Frontiers in Oncology

Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

2023 · 123 Zit. · arXiv (Cornell University)

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

2023 · 89 Zit. · arXiv (Cornell University)

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study

2023 · 67 Zit. · JMIR Medical Education

AugGPT: Leveraging ChatGPT for Text Data Augmentation

2025 · 63 Zit. · IEEE Transactions on Big Data

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

2023 · 51 Zit. · arXiv (Cornell University)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain

2023 · 36 Zit. · Lecture notes in computer science

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

2023 · 30 Zit. · arXiv (Cornell University)

Surviving ChatGPT in healthcare

2024 · 29 Zit. · Frontiers in Radiology

Differentiate ChatGPT-generated and Human-written Medical Texts

2023 · 24 Zit. · arXiv (Cornell University)

Radiology-GPT: A Large Language Model for Radiology

2023 · 21 Zit. · arXiv (Cornell University)

Survey on natural language processing in medical image analysis.

2022 · 21 Zit. · PubMed

Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study (Preprint)

2023 · 19 Zit.

Evaluating Large Language Models for Radiology Natural Language Processing

2023 · 19 Zit. · arXiv (Cornell University)