Cover Image

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Shan, Gallifant, Jack, Guevara, Marco, Gao, Yanjun, Afshar, Majid, Miller, Timothy, Dligach, Dmitriy, Bitterman, Danielle S.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications?
by: Gao, Yanjun, et al.
Published: (2024)

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability
by: Gao, Yanjun, et al.
Published: (2024)

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs
by: Myers, Skatje, et al.
Published: (2025)

Brittleness and Promise: Knowledge Graph Based Reward Modeling for Diagnostic Reasoning
by: Khatwani, Saksham, et al.
Published: (2025)

Lessons Learned on Information Retrieval in Electronic Health Records: A Comparison of Embedding Models and Pooling Strategies
by: Myers, Skatje, et al.
Published: (2024)

LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval
by: Cheng, He, et al.
Published: (2026)

Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
by: Gao, Yanjun, et al.
Published: (2023)

CLSGen: A Dual-Head Fine-Tuning Framework for Joint Probabilistic Classification and Verbalized Explanation
by: Yoon, WonJin, et al.
Published: (2026)

KScope: A Framework for Characterizing the Knowledge Status of Language Models
by: Xiao, Yuxin, et al.
Published: (2025)

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation
by: Chen, Shan, et al.
Published: (2024)

Sparse Autoencoder Features for Classifications and Transferability
by: Gallifant, Jack, et al.
Published: (2025)

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
by: Gallifant, Jack, et al.
Published: (2024)

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use
by: Chen, Shan, et al.
Published: (2025)

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
by: Chen, Canyu, et al.
Published: (2024)

The use of large language models to enhance cancer clinical trial educational materials
by: Gao, Mingye, et al.
Published: (2024)

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
by: Chen, Shan, et al.
Published: (2024)

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective
by: Restrepo, David, et al.
Published: (2024)

When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of Accuracy
by: Qi, Jirui, et al.
Published: (2025)

debiaSAE: Benchmarking and Mitigating Vision-Language Model Bias
by: Sasse, Kuleen, et al.
Published: (2024)

Principles from Clinical Research for NLP Model Generalization
by: Elangovan, Aparna, et al.
Published: (2023)

EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models
by: Matos, João, et al.
Published: (2024)

Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?
by: Seah, Natalie, et al.
Published: (2026)

Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
by: Biswas, Anjanava, et al.
Published: (2024)

Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
by: Kruse, Maya, et al.
Published: (2025)

Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications
by: Liu, Mingxuan, et al.
Published: (2025)

Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources
by: Hansen, Lasse Hyldig, et al.
Published: (2024)

DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
by: Barone, Mariano, et al.
Published: (2025)

Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP
by: Cheetirala, Satya Narayana, et al.
Published: (2025)

DualAlign: Generating Clinically Grounded Synthetic Data
by: Li, Rumeng, et al.
Published: (2025)

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA
by: Bai, Fan, et al.
Published: (2024)

NagaNLP: Bootstrapping NLP for Low-Resource Nagamese Creole with Human-in-the-Loop Synthetic Data
by: Maiti, Agniva, et al.
Published: (2025)

Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages
by: McKenna, Nick, et al.
Published: (2025)

Synthetic4Health: Generating Annotated Synthetic Clinical Letters
by: Ren, Libo, et al.
Published: (2024)

Publicly Shareable Clinical Large Language Model Built on Synthetic Clinical Notes
by: Kweon, Sunjun, et al.
Published: (2023)

Synthetic Feature Augmentation Improves Generalization Performance of Language Models
by: Choudhary, Ashok, et al.
Published: (2025)

PRISM: A Transformer-based Language Model of Structured Clinical Event Data
by: Levine, Lionel, et al.
Published: (2025)

CUICurate: A GraphRAG-based Framework for Automated Clinical Concept Curation for NLP applications
by: Blake, Victoria, et al.
Published: (2026)

Large Language Models to Identify Social Determinants of Health in Electronic Health Records
by: Guevara, Marco, et al.
Published: (2023)

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

Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction
by: Kruse, Maya, et al.
Published: (2025)