Cover Image

Large Language Models Vote: Prompting for Rare Disease Identification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Oniani, David, Hilsman, Jordan, Dong, Hang, Gao, Fengyi, Verma, Shiven, Wang, Yanshan
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Emerging Opportunities of Using Large Language Models for Translation Between Drug Molecules and Indications
by: Oniani, David, et al.
Published: (2024)

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines
by: Oniani, David, et al.
Published: (2024)

Extraction of Sleep Information from Clinical Notes of Patients with Alzheimer's Disease Using Natural Language Processing
by: Sivarajkumar, Sonish, et al.
Published: (2022)

Mining Clinical Notes for Physical Rehabilitation Exercise Information: Natural Language Processing Algorithm Development and Validation Study
by: Sivarajkumar, Sonish, et al.
Published: (2023)

Automating Adjudication of Cardiovascular Events Using Large Language Models
by: Sivarajkumar, Sonish, et al.
Published: (2025)

On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models
by: Verma, Mudit, et al.
Published: (2024)

Leveraging Large Language Models for Rare Disease Named Entity Recognition
by: Xi, Nan Miles, et al.
Published: (2025)

Identifying and Extracting Rare Disease Phenotypes with Large Language Models
by: Shyr, Cathy, et al.
Published: (2023)

Task-Aligned Tool Recommendation for Large Language Models
by: Gao, Hang, et al.
Published: (2024)

Rare Disease Differential Diagnosis with Large Language Models at Scale: From Abdominal Actinomycosis to Wilson's Disease
by: Schumacher, Elliot, et al.
Published: (2025)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)

To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models
by: Trad, Fouad, et al.
Published: (2024)

Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
by: Cook, David A.
Published: (2026)

An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication -- A scoping review
by: Zhan, Zaifu, et al.
Published: (2026)

Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories
by: Bilalpur, Maneesh, et al.
Published: (2025)

An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)

Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)

Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)

NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models
by: Ho, Zheng Yi, et al.
Published: (2024)

KnowGPT: Knowledge Graph based Prompting for Large Language Models
by: Zhang, Qinggang, et al.
Published: (2023)

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
by: Castillo-Bolado, David, et al.
Published: (2024)

Evaluating Large Language Models on Rare Disease Diagnosis: A Case Study using House M.D
by: Gupta, Arsh, et al.
Published: (2025)

Large Language Models Prompting With Episodic Memory
by: Do, Dai, et al.
Published: (2024)

On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)

DROJ: A Prompt-Driven Attack against Large Language Models
by: Hu, Leyang, et al.
Published: (2024)

Assessing Large Language Models for Online Extremism Research: Identification, Explanation, and New Knowledge
by: Dong, Beidi, et al.
Published: (2024)

Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models
by: Li, Hao, et al.
Published: (2024)

ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)

Ghostbuster: Detecting Text Ghostwritten by Large Language Models
by: Verma, Vivek, et al.
Published: (2023)

dVoting: Fast Voting for dLLMs
by: Feng, Sicheng, et al.
Published: (2026)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
by: Murthy, Rithesh, et al.
Published: (2025)

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
by: Mu, Lin, et al.
Published: (2025)

Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
by: Santos, Gabriel Machado, et al.
Published: (2025)

Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)

Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)

Prompt-based Depth Pruning of Large Language Models
by: Wee, Juyun, et al.
Published: (2025)

Unveiling and Manipulating Prompt Influence in Large Language Models
by: Feng, Zijian, et al.
Published: (2024)