Reply to "Zero-, Single-, and Few-Shot Learning in Large Language Models to Identify Incidental Findings From Radiology Reports"

被引：0

作者：

Bhayana, Rajesh ^{[1
]}

Elias, Gavin ^{[2
]}

Datta, Daksh ^{[2
]}

Bhambra, Nishaant ^{[2
]}

Deng, Yangqing ^{[3
]}

Krishna, Satheesh ^{[1
]}

机构：

[1] Univ Hlth Network, Toronto, ON, Canada

[2] Univ Toronto, Toronto, ON, Canada

[3] Princess Margaret Canc Ctr, Toronto, ON, Canada

来源：

AMERICAN JOURNAL OF ROENTGENOLOGY | 2024年 / 222卷 / 03期

关键词：

D O I：

10.2214/AJR.24.31060

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

引用

页数：2

共 19 条

[1] Zero-, Single-, and Few-Shot Learning in Large Language Models to Identify Incidental Findings From Radiology Reports
Kaba, Esat
AMERICAN JOURNAL OF ROENTGENOLOGY, 2024, 222 (03)
[2] Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation
Fernandez-Pichel, Marcos
Losada, David E.
Pichel, Juan C.
COMPUTATIONAL SCIENCE, ICCS 2024, PT IV, 2024, 14835 : 325 - 339
[3] Harnessing large language models' zero-shot and few-shot learning capabilities for regulatory research
Meshkin, Hamed
Zirkle, Joel
Arabidarrehdor, Ghazal
Chaturbedi, Anik
Chakravartula, Shilpa
Mann, John
Thrasher, Bradlee
Li, Zhihua
BRIEFINGS IN BIOINFORMATICS, 2024, 25 (05)
[4] Enhancing Melanoma Diagnosis: Integration of Zero-Shot and Few-Shot Learning With Large Language Models
Nagaoka, Takashi
SKIN RESEARCH AND TECHNOLOGY, 2024, 30 (09)
[5] Automatic Text Classification With Large Language Models: A Review of <monospace>openai</monospace> for Zero- and Few-Shot Classification
Anglin, Kylie L.
Ventura, Claudia
JOURNAL OF EDUCATIONAL AND BEHAVIORAL STATISTICS, 2024,
[6] Use of GPT-4 With Single-Shot Learning to Identify Incidental Findings in Radiology Reports
Bhayana, Rajesh
Elias, Gavin
Datta, Daksh
Bhambra, Nishaant
Deng, Yangqing
Krishna, Satheesh
AMERICAN JOURNAL OF ROENTGENOLOGY, 2024, 222 (03)
[7] Zero- and few-shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials
Suster, Simon
Baldwin, Timothy
Verspoor, Karin
RESEARCH SYNTHESIS METHODS, 2024, 15 (06) : 988 - 1000
[8] A few-shot learning method based on knowledge graph in large language models
Wang, Feilong
Shi, Donghui
Aguilar, Jose
Cui, Xinyi
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS, 2024,
[9] Inference Calibration of Vision-Language Foundation Models for Zero-Shot and Few-Shot Learning
Hu, Minyang
Chang, Hong
Shan, Shiguang
Chen, Xilin
PATTERN RECOGNITION LETTERS, 2025, 192 : 15 - 21
[10] Structuring medication signeturs as a language regression task: comparison of zero- and few-shot GPT with fine-tuned models
Garcia-Agundez, Augusto
Kay, Julia L.
Li, Jing
Gianfrancesco, Milena
Rai, Baljeet
Hu, Angela
Schmajuk, Gabriela
Yazdany, Jinoos
JAMIA OPEN, 2024, 7 (02)

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