Copertina

Automated Generation of High-Quality Medical Simulation Scenarios Through Integration of Semi-Structured Data and Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Sumpter, Scott
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility
di: Li, Shuyang, et al.
Pubblicazione: (2024)

Automated Explanation of Machine Learning Models of Footballing Actions in Words
di: Rahimian, Pegah, et al.
Pubblicazione: (2025)

PIORS: Personalized Intelligent Outpatient Reception based on Large Language Model with Multi-Agents Medical Scenario Simulation
di: Bao, Zhijie, et al.
Pubblicazione: (2024)

ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios
di: Wei, Shou'ang, et al.
Pubblicazione: (2025)

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
di: Zhou, Shuang, et al.
Pubblicazione: (2025)

Additive Large Language Models for Semi-Structured Text
di: K, Karthikeyan, et al.
Pubblicazione: (2025)

REMOD: Relation Extraction for Modeling Online Discourse
di: Sumpter, Matthew, et al.
Pubblicazione: (2021)

Generating High Quality Synthetic Data for Dutch Medical Conversations
di: Kuan, Cecilia, et al.
Pubblicazione: (2026)

Simulating a Bias Mitigation Scenario in Large Language Models
di: Kiashemshaki, Kiana, et al.
Pubblicazione: (2025)

CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios
di: Ouyang, Zetian, et al.
Pubblicazione: (2024)

Arabic Large Language Models for Medical Text Generation
di: Allam, Abdulrahman, et al.
Pubblicazione: (2025)

DictLLM: Harnessing Key-Value Data Structures with Large Language Models for Enhanced Medical Diagnostics
di: Guo, YiQiu, et al.
Pubblicazione: (2024)

Efficient Fine-Tuning of Large Language Models for Automated Medical Documentation
di: Leong, Hui Yi, et al.
Pubblicazione: (2024)

Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
di: Su, Xin, et al.
Pubblicazione: (2023)

A Machine Learning Approach for Emergency Detection in Medical Scenarios Using Large Language Models
di: Akaybicen, Ferit, et al.
Pubblicazione: (2024)

Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models
di: Agostinelli, Victor, et al.
Pubblicazione: (2023)

High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models
di: Zhou, Songchi, et al.
Pubblicazione: (2023)

Integrating Text and Time-Series into (Large) Language Models to Predict Medical Outcomes
di: Larbi, Iyadh Ben Cheikh, et al.
Pubblicazione: (2025)

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
di: Huang, Weiyu, et al.
Pubblicazione: (2024)

A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation
di: Zhao, Yilong, et al.
Pubblicazione: (2024)

Simulation Agent: A Framework for Integrating Simulation and Large Language Models for Enhanced Decision-Making
di: Kleiman, Jacob, et al.
Pubblicazione: (2025)

A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
di: Hegselmann, Stefan, et al.
Pubblicazione: (2024)

Assessing Large Language Models for Structured Medical Order Extraction
di: Karim, A H M Rezaul, et al.
Pubblicazione: (2025)

Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
di: Tang, Xiangru, et al.
Pubblicazione: (2023)

Automating Turkish Educational Quiz Generation Using Large Language Models
di: Zeinalipour, Kamyar, et al.
Pubblicazione: (2024)

Generative Large Language Models in Automated Fact-Checking: A Survey
di: Vykopal, Ivan, et al.
Pubblicazione: (2024)

AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator
di: Fan, Zhihao, et al.
Pubblicazione: (2024)

Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
di: Dorfner, Felix J., et al.
Pubblicazione: (2024)

Querying Structured Data Through Natural Language Using Language Models
di: Valentin-Micu, Hontan, et al.
Pubblicazione: (2026)

Structural Latency Perturbation in Large Language Models Through Recursive State Induction
di: Mangrum, Michael, et al.
Pubblicazione: (2025)

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
di: Fang, Gongfan, et al.
Pubblicazione: (2024)

Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse
di: Sun, Jianwei, et al.
Pubblicazione: (2024)

Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
di: Wang, Haochun, et al.
Pubblicazione: (2023)

EMRModel: A Large Language Model for Extracting Medical Consultation Dialogues into Structured Medical Records
di: Zhao, Shuguang, et al.
Pubblicazione: (2025)

AutoHall: Automated Factuality Hallucination Dataset Generation for Large Language Models
di: Cao, Zouying, et al.
Pubblicazione: (2023)

CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models
di: Huang, Weiyu, et al.
Pubblicazione: (2025)

Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation
di: Yang, Yifan, et al.
Pubblicazione: (2024)

Generalization of Medical Large Language Models through Cross-Domain Weak Supervision
di: Long, Robert, et al.
Pubblicazione: (2025)

High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models
di: Lorandi, Michela, et al.
Pubblicazione: (2024)

Latent Structure Modulation in Large Language Models Through Stochastic Concept Embedding Transitions
di: Whitaker, Stefan, et al.
Pubblicazione: (2025)