Fine-tuning Large Language Model (LLM) Artificial Intelligence Chatbots in Ophthalmology and LLM-based evaluation using GPT-4
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Ting Fang, Elangovan, Kabilan, Jin, Liyuan, Jie, Yao, Yong, Li, Lim, Joshua, Poh, Stanley, Ng, Wei Yan, Lim, Daniel, Ke, Yuhe, Liu, Nan, Ting, Daniel Shu Wei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When Fine-Tuning Changes the Evidence: Architecture-Dependent Semantic Drift in Chest X-Ray Explanations
by: Elangovan, Kabilan, et al.
Published: (2026)
by: Elangovan, Kabilan, et al.
Published: (2026)
Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification
by: Elangovan, Kabilan, et al.
Published: (2026)
by: Elangovan, Kabilan, et al.
Published: (2026)
Clinical Validation of Medical-based Large Language Model Chatbots on Ophthalmic Patient Queries with LLM-based Evaluation
by: Tan, Ting Fang, et al.
Published: (2026)
by: Tan, Ting Fang, et al.
Published: (2026)
Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine
by: Ke, Yu He, et al.
Published: (2024)
by: Ke, Yu He, et al.
Published: (2024)
Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report
by: Ke, YuHe, et al.
Published: (2024)
by: Ke, YuHe, et al.
Published: (2024)
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
by: Shiqi Yin, et al.
Published: (2025)
by: Shiqi Yin, et al.
Published: (2025)
Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties
by: Ong, Jasmine Chiat Ling, et al.
Published: (2024)
by: Ong, Jasmine Chiat Ling, et al.
Published: (2024)
Real‐world deployment and evaluation of PEri ‐operative AI CHatbot ( PEACH ): a large language model chatbot for peri‐operative medicine
by: Yu He Ke, et al.
Published: (2025)
by: Yu He Ke, et al.
Published: (2025)
Lightweight Large Language Model for Medication Enquiry: Med-Pal
by: Elangovan, Kabilan, et al.
Published: (2024)
by: Elangovan, Kabilan, et al.
Published: (2024)
LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning
by: Huang, Wei, et al.
Published: (2026)
by: Huang, Wei, et al.
Published: (2026)
ChatGPT and the Use of Artificial Intelligence
by: Daniel Lindley
Published: (2024)
by: Daniel Lindley
Published: (2024)
SEQ-GPT: LLM-assisted Spatial Query via Example
by: Lim, Ivan Khai Ze, et al.
Published: (2025)
by: Lim, Ivan Khai Ze, et al.
Published: (2025)
oRetrieval Augmented Generation for 10 Large Language Models and its Generalizability in Assessing Medical Fitness
by: Ke, Yu He, et al.
Published: (2024)
by: Ke, Yu He, et al.
Published: (2024)
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
Data-efficient Fine-tuning for LLM-based Recommendation
by: Lin, Xinyu, et al.
Published: (2024)
by: Lin, Xinyu, et al.
Published: (2024)
iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision
by: Bai, Jingwen, et al.
Published: (2026)
by: Bai, Jingwen, et al.
Published: (2026)
Dialect-Agnostic SQL Parsing via LLM-Based Segmentation
by: An, Junwen, et al.
Published: (2026)
by: An, Junwen, et al.
Published: (2026)
Turning Hindrances Into Challenges: Transformational Leadership Enhances Employees' Competitive Productivity in an Artificial Intelligence‐Driven Hospitality Industry
by: Kim‐Lim Tan, et al.
Published: (2025)
by: Kim‐Lim Tan, et al.
Published: (2025)
Mechanism Design for LLM Fine-tuning with Multiple Reward Models
by: Sun, Haoran, et al.
Published: (2024)
by: Sun, Haoran, et al.
Published: (2024)
PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning
by: Wang, Qibin, et al.
Published: (2024)
by: Wang, Qibin, et al.
Published: (2024)
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
by: Zhou, Huichi, et al.
Published: (2025)
by: Zhou, Huichi, et al.
Published: (2025)
Enhancing Diagnostic Accuracy through Multi-Agent Conversations: Using Large Language Models to Mitigate Cognitive Bias
by: Ke, Yu He, et al.
Published: (2024)
by: Ke, Yu He, et al.
Published: (2024)
“It Becomes Very Intelligent”: ChatGPT as an Academic Reading Tool for Postgraduates
by: Afza Diyana Abdullah, et al.
Published: (2025)
by: Afza Diyana Abdullah, et al.
Published: (2025)
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
by: Huang, Hui, et al.
Published: (2024)
by: Huang, Hui, et al.
Published: (2024)
Fabric to energy storage via oxygen‐tuned graphene engineered by laser crafting
by: Soon Poh Lee, et al.
Published: (2025)
by: Soon Poh Lee, et al.
Published: (2025)
Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
by: She Chongyang, et al.
Published: (2026)
by: She Chongyang, et al.
Published: (2026)
A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability
by: Tan, Ting Fang, et al.
Published: (2024)
by: Tan, Ting Fang, et al.
Published: (2024)
Application of Artificial Intelligence in Clinical Microbiology: From Research to Practice
by: Ting Ding, et al.
Published: (2025)
by: Ting Ding, et al.
Published: (2025)
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training
by: Zhang, Gengwei, et al.
Published: (2024)
by: Zhang, Gengwei, et al.
Published: (2024)
Intent Classification for Bank Chatbots through LLM Fine-Tuning
by: Lajčinová, Bibiána, et al.
Published: (2024)
by: Lajčinová, Bibiána, et al.
Published: (2024)
ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users
by: David, Shahaf, et al.
Published: (2025)
by: David, Shahaf, et al.
Published: (2025)
Analyzing the Effect of Noise in LLM Fine-tuning
by: Li, Lingfang, et al.
Published: (2026)
by: Li, Lingfang, et al.
Published: (2026)
As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss
by: Mao, Xin, et al.
Published: (2024)
by: Mao, Xin, et al.
Published: (2024)
Intelligent Co-Design: An Interactive LLM Framework for Interior Spatial Design via Multi-Modal Agents
by: Lim, Ren Jian, et al.
Published: (2026)
by: Lim, Ren Jian, et al.
Published: (2026)
Frequency and Severity of Post‐Procedure Bleeding Events Following Dental Extractions Completed in Patients on Heparin Therapy
by: Claudia Patricia Lopez Silva, et al.
Published: (2025)
by: Claudia Patricia Lopez Silva, et al.
Published: (2025)
Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
by: Vu, Nguyen Gia Hien, et al.
Published: (2025)
by: Vu, Nguyen Gia Hien, et al.
Published: (2025)
Performance of GPT-5 Frontier Models in Ophthalmology Question Answering
by: Antaki, Fares, et al.
Published: (2025)
by: Antaki, Fares, et al.
Published: (2025)
Fine-Grained VLM Fine-tuning via Latent Hierarchical Adapter Learning
by: Zhao, Yumiao, et al.
Published: (2025)
by: Zhao, Yumiao, et al.
Published: (2025)
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
by: Yi, Ke, et al.
Published: (2024)
by: Yi, Ke, et al.
Published: (2024)
Alleviating the Fear of Losing Alignment in LLM Fine-tuning
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
Similar Items
-
When Fine-Tuning Changes the Evidence: Architecture-Dependent Semantic Drift in Chest X-Ray Explanations
by: Elangovan, Kabilan, et al.
Published: (2026) -
Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification
by: Elangovan, Kabilan, et al.
Published: (2026) -
Clinical Validation of Medical-based Large Language Model Chatbots on Ophthalmic Patient Queries with LLM-based Evaluation
by: Tan, Ting Fang, et al.
Published: (2026) -
Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine
by: Ke, Yu He, et al.
Published: (2024) -
Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report
by: Ke, YuHe, et al.
Published: (2024)