Copertina

Evaluation of Clinical Trials Reporting Quality using Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Laï-king, Mathieu, Paroubek, Patrick
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Pre-training data selection for biomedical domain adaptation using journal impact metrics
di: Laï-king, Mathieu, et al.
Pubblicazione: (2024)

A Unified Approach to Emotion Detection and Task-Oriented Dialogue Modeling
di: Stricker, Armand, et al.
Pubblicazione: (2024)

Chitchat as Interference: Adding User Backstories to Task-Oriented Dialogues
di: Stricker, Armand, et al.
Pubblicazione: (2024)

Enhancing Task-Oriented Dialogues with Chitchat: a Comparative Study Based on Lexical Diversity and Divergence
di: Stricker, Armand, et al.
Pubblicazione: (2023)

LLM-based Atomic Propositions help weak extractors: Evaluation of a Propositioner for triplet extraction
di: Pommeret, Luc, et al.
Pubblicazione: (2026)

Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
di: Zhou, Xiaofan, et al.
Pubblicazione: (2025)

Matching Patients to Clinical Trials with Large Language Models
di: Jin, Qiao, et al.
Pubblicazione: (2023)

Using Large Language Models to Generate Clinical Trial Tables and Figures
di: Yang, Yumeng, et al.
Pubblicazione: (2024)

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models
di: Hu, Yiran, et al.
Pubblicazione: (2025)

End-To-End Clinical Trial Matching with Large Language Models
di: Ferber, Dyke, et al.
Pubblicazione: (2024)

Multimodal Clinical Trial Outcome Prediction with Large Language Models
di: Zheng, Wenhao, et al.
Pubblicazione: (2024)

PRISM: Patient Records Interpretation for Semantic Clinical Trial Matching using Large Language Models
di: Gupta, Shashi Kant, et al.
Pubblicazione: (2024)

Evaluating the Ability of Large Language Models to Identify Adherence to CONSORT Reporting Guidelines in Randomized Controlled Trials: A Methodological Evaluation Study
di: He, Zhichao, et al.
Pubblicazione: (2025)

CTP-LLM: Clinical Trial Phase Transition Prediction Using Large Language Models
di: Reinisch, Michael, et al.
Pubblicazione: (2024)

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning
di: Yue, Ling, et al.
Pubblicazione: (2024)

TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models
di: Yue, Ling, et al.
Pubblicazione: (2024)

Retrieval-Reasoning Large Language Model-based Synthetic Clinical Trial Generation
di: Xu, Zerui, et al.
Pubblicazione: (2024)

Demystifying Singular Defects in Large Language Models
di: Wang, Haoqi, et al.
Pubblicazione: (2025)

Assessing the Quality of AI-Generated Clinical Notes: A Validated Evaluation of a Large Language Model Scribe
di: Palm, Erin, et al.
Pubblicazione: (2025)

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
di: Wang, Yue, et al.
Pubblicazione: (2024)

Evaluating Large Language Models for Evidence-Based Clinical Question Answering
di: Wang, Can, et al.
Pubblicazione: (2025)

Evaluating the Presence of Sex Bias in Clinical Reasoning by Large Language Models
di: Tsintsiper, Isabel, et al.
Pubblicazione: (2026)

The Daily Dose: Workflow-Integrated Large Language Model Automation for Clinical Summarization and Trial Identification in Radiation Oncology
di: Holmes, Jason, et al.
Pubblicazione: (2026)

Evaluation of Geographical Distortions in Language Models
di: Decoupes, Rémy, et al.
Pubblicazione: (2024)

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges
di: Li, Zhen, et al.
Pubblicazione: (2024)

On Context Utilization in Summarization with Large Language Models
di: Ravaut, Mathieu, et al.
Pubblicazione: (2023)

OntoURL: A Benchmark for Evaluating Large Language Models on Symbolic Ontological Understanding, Reasoning and Learning
di: Zhang, Xiao, et al.
Pubblicazione: (2025)

CTBench: A Comprehensive Benchmark for Evaluating Language Model Capabilities in Clinical Trial Design
di: Neehal, Nafis, et al.
Pubblicazione: (2024)

ClinDEF: A Dynamic Evaluation Framework for Large Language Models in Clinical Reasoning
di: Tang, Yuqi, et al.
Pubblicazione: (2025)

DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization
di: Morris, John X., et al.
Pubblicazione: (2024)

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model
di: Rahman, Salman, et al.
Pubblicazione: (2024)

Evaluation of Habitat Robotics using Large Language Models
di: Li, William, et al.
Pubblicazione: (2025)

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
di: Huang, Xu, et al.
Pubblicazione: (2024)

Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models
di: Buhnila, Ioana, et al.
Pubblicazione: (2024)

Commonsense Generation and Evaluation for Dialogue Systems using Large Language Models
di: Estecha-Garitagoitia, Marcos, et al.
Pubblicazione: (2025)

Will Large Language Models Transform Clinical Prediction?
di: Yildiz, Yusuf, et al.
Pubblicazione: (2025)

How to Train Private Clinical Language Models: A Comparative Study of Privacy-Preserving Pipelines for ICD-9 Coding
di: Dufour, Mathieu, 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)

Evaluating Clinical Competencies of Large Language Models with a General Practice Benchmark
di: Li, Zheqing, et al.
Pubblicazione: (2025)

Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
di: Yang, Xinqi, et al.
Pubblicazione: (2024)