GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset
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Abstract (arXiv)
This technical report delves into the application of GPT-4 Vision (GPT-4V) in the nuanced realm of COVID-19 image classification, leveraging the transformative potential of in-context learning to enhance diagnostic processes.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 14 of its 25 references that are in the map. First posted on arXiv 27 Oct 2023.
Builds on
14 of 25 references.
References · 14
- 2015Deep Residual Learning for Image Recognitioncited by 52,096
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
- 2014ImageNet Large Scale Visual Recognition Challengecited by 8,498
- 2016Densely Connected Convolutional Networkscited by 6,720
- 2022PaLM: Scaling Language Modeling with Pathwayscited by 5,326
- 2017Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networkscited by 4,897
- 2014Going Deeper with Convolutionscited by 4,241
- 2021Finetuned Language Models Are Zero-Shot Learnerscited by 3,780
- 2022Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?cited by 1,434
- 2021What Makes Good In-Context Examples for GPT-3?cited by 1,195
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Citing papers per year: 2023: 1; 2024: 1; 2025: 4; 2026: 1.
7 papers.
- 2025Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Followingcited by 15
- 2023NERIF: GPT-4V for Automatic Scoring of Drawn Modelscited by 13
- 2025Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Miningcited by 8
- 2025Explore Data Left Behind in Reinforcement Learning for Reasoning Language Modelscited by 7
- 2024Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Imagescited by 2
- 2026Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generationcited by 2
- 2025Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Imagescited by 0
- 2026Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation25 Aug 2026
- 2025Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following26 Nov 2025
- 2025Explore Data Left Behind in Reinforcement Learning for Reasoning Language Models6 Nov 2025
- 2025Modality-Balancing Preference Optimization of Large Multimodal Models by Adversarial Negative Mining20 May 2025
- 2025Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images27 Mar 2025
- 2024Active Prompt Tuning Enables Gpt-40 To Do Efficient Classification Of Microscopy Images4 Nov 2024
- 2023NERIF: GPT-4V for Automatic Scoring of Drawn Models21 Nov 2023