Evaluating Prompt Engineering Techniques for Accuracy and Confidence Elicitation in Medical LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Naderi, Nariman, Atf, Zahra, Lewis, Peter R, far, Aref Mahjoub, Safavi-Naini, Seyed Amir Ahmad, Soroush, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
by: Naderi, Nariman, et al.
Published: (2025)
by: Naderi, Nariman, et al.
Published: (2025)
The challenge of uncertainty quantification of large language models in medicine
by: Atf, Zahra, et al.
Published: (2025)
by: Atf, Zahra, et al.
Published: (2025)
State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability
by: Danaei, Saeide, et al.
Published: (2025)
by: Danaei, Saeide, et al.
Published: (2025)
ScenarioBench: Trace-Grounded Compliance Evaluation for Text-to-SQL and RAG
by: Atf, Zahra, et al.
Published: (2025)
by: Atf, Zahra, et al.
Published: (2025)
Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
by: Atf, Zahra, et al.
Published: (2025)
by: Atf, Zahra, et al.
Published: (2025)
Is Trust Correlated With Explainability in AI? A Meta-Analysis
by: Atf, Zahra, et al.
Published: (2025)
by: Atf, Zahra, et al.
Published: (2025)
Kantian-Utilitarian XAI: Meta-Explained
by: Atf, Zahra, et al.
Published: (2025)
by: Atf, Zahra, et al.
Published: (2025)
3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset
by: Advand, Mehran, et al.
Published: (2026)
by: Advand, Mehran, et al.
Published: (2026)
Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework
by: Safavi-Naini, Seyed Amir Ahmad, et al.
Published: (2026)
by: Safavi-Naini, Seyed Amir Ahmad, et al.
Published: (2026)
Evaluating Prompt Engineering Techniques for RAG in Small Language Models: A Multi-Hop QA Approach
by: Mohammadi, Amir Hossein, et al.
Published: (2026)
by: Mohammadi, Amir Hossein, et al.
Published: (2026)
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
by: Xiong, Miao, et al.
Published: (2023)
by: Xiong, Miao, et al.
Published: (2023)
Vision Language Models versus Machine Learning Models Performance on Polyp Detection and Classification in Colonoscopy Images
by: Khalafi, Mohammad Amin, et al.
Published: (2025)
by: Khalafi, Mohammad Amin, et al.
Published: (2025)
Accuracy and Consistency of LLMs in the Registered Dietitian Exam: The Impact of Prompt Engineering and Knowledge Retrieval
by: Azimi, Iman, et al.
Published: (2024)
by: Azimi, Iman, et al.
Published: (2024)
SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025)
by: Zhou, Ziang, et al.
Published: (2025)
Paraphrase Types Elicit Prompt Engineering Capabilities
by: Wahle, Jan Philip, et al.
Published: (2024)
by: Wahle, Jan Philip, et al.
Published: (2024)
Counterfactual Cultural Cues Reduce Medical QA Accuracy in LLMs: Identifier vs Context Effects
by: Rezaei, Amirhossein Haji Mohammad, et al.
Published: (2026)
by: Rezaei, Amirhossein Haji Mohammad, et al.
Published: (2026)
A Physics-Informed Machine Learning Framework for Solid Boundary Treatment in Meshfree Particle Methods
by: Mehranfar, Nariman, et al.
Published: (2025)
by: Mehranfar, Nariman, et al.
Published: (2025)
Enhanced Detection of Conversational Mental Manipulation Through Advanced Prompting Techniques
by: Yang, Ivory, et al.
Published: (2024)
by: Yang, Ivory, et al.
Published: (2024)
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation
by: Ren, Zhiyao, et al.
Published: (2024)
by: Ren, Zhiyao, et al.
Published: (2024)
Over-the-Air Federated Adaptive Data Analysis: Preserving Accuracy via Opportunistic Differential Privacy
by: Hadavi, Amir Hossein, et al.
Published: (2024)
by: Hadavi, Amir Hossein, et al.
Published: (2024)
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
by: Puerto, Haritz, et al.
Published: (2024)
by: Puerto, Haritz, et al.
Published: (2024)
Confidence Improves Self-Consistency in LLMs
by: Taubenfeld, Amir, et al.
Published: (2025)
by: Taubenfeld, Amir, et al.
Published: (2025)
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering
by: Zhang, Tanghaoran, et al.
Published: (2024)
by: Zhang, Tanghaoran, et al.
Published: (2024)
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
by: Zhang, Mozhi, et al.
Published: (2024)
by: Zhang, Mozhi, et al.
Published: (2024)
Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
by: Naseh, Ali, et al.
Published: (2024)
by: Naseh, Ali, et al.
Published: (2024)
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
by: Nasiriany, Soroush, et al.
Published: (2024)
by: Nasiriany, Soroush, et al.
Published: (2024)
Vision-Language and Large Language Model Performance in Gastroenterology: GPT, Claude, Llama, Phi, Mistral, Gemma, and Quantized Models
by: Safavi-Naini, Seyed Amir Ahmad, et al.
Published: (2024)
by: Safavi-Naini, Seyed Amir Ahmad, et al.
Published: (2024)
Linking Perception, Confidence and Accuracy in MLLMs
by: Du, Yuetian, et al.
Published: (2026)
by: Du, Yuetian, et al.
Published: (2026)
Exploring the Use of Prompts and AI‐Generated Images to Elicit Explanations in Engineering Education
by: Andres Nieto‐Leal, et al.
Published: (2026)
by: Andres Nieto‐Leal, et al.
Published: (2026)
A Survey on Prompting Techniques in LLMs
by: Bhandari, Prabin
Published: (2023)
by: Bhandari, Prabin
Published: (2023)
Can Confidence Estimates Decide When Chain-of-Thought Is Necessary for LLMs?
by: Lewis-Lim, Samuel, et al.
Published: (2025)
by: Lewis-Lim, Samuel, et al.
Published: (2025)
SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques
by: Guo, Qiming, et al.
Published: (2024)
by: Guo, Qiming, et al.
Published: (2024)
Beyond Imperfections: A Conditional Inpainting Approach for End-to-End Artifact Removal in VTON and Pose Transfer
by: Tabatabaei, Aref, et al.
Published: (2024)
by: Tabatabaei, Aref, et al.
Published: (2024)
Hallucination as an Upper Bound: A New Perspective on Text-to-Image Evaluation
by: Kasaei, Seyed Amir, et al.
Published: (2025)
by: Kasaei, Seyed Amir, et al.
Published: (2025)
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles
by: Chen, Qi, et al.
Published: (2024)
by: Chen, Qi, et al.
Published: (2024)
The Prompt Report: A Systematic Survey of Prompt Engineering Techniques
by: Schulhoff, Sander, et al.
Published: (2024)
by: Schulhoff, Sander, et al.
Published: (2024)
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue
by: Alghisi, Simone, et al.
Published: (2024)
by: Alghisi, Simone, et al.
Published: (2024)
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
by: Wu, Juncheng, et al.
Published: (2025)
by: Wu, Juncheng, et al.
Published: (2025)
Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation
by: Ren, Zhiyao, et al.
Published: (2026)
by: Ren, Zhiyao, et al.
Published: (2026)
Privacy Policy Analysis through Prompt Engineering for LLMs
by: Goknil, Arda, et al.
Published: (2024)
by: Goknil, Arda, et al.
Published: (2024)
Similar Items
-
Self-Reported Confidence of Large Language Models in Gastroenterology: Analysis of Commercial, Open-Source, and Quantized Models
by: Naderi, Nariman, et al.
Published: (2025) -
The challenge of uncertainty quantification of large language models in medicine
by: Atf, Zahra, et al.
Published: (2025) -
State of Abdominal CT Datasets: A Critical Review of Bias, Clinical Relevance, and Real-world Applicability
by: Danaei, Saeide, et al.
Published: (2025) -
ScenarioBench: Trace-Grounded Compliance Evaluation for Text-to-SQL and RAG
by: Atf, Zahra, et al.
Published: (2025) -
Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation
by: Atf, Zahra, et al.
Published: (2025)