Cover Image

A Comparative Study of Recent Large Language Models on Generating Hospital Discharge Summaries for Lung Cancer Patients

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yiming, Li, Fang, Roberts, Kirk, Cui, Licong, Tao, Cui, Xu, Hua
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

Large Language Model-Based Generation of Discharge Summaries
by: Rodrigues, Tiago, et al.
Published: (2025)

Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources
by: Li, Yiming, et al.
Published: (2024)

Relation Extraction Using Large Language Models: A Case Study on Acupuncture Point Locations
by: Li, Yiming, et al.
Published: (2024)

Predicting Lung Cancer Patient Prognosis with Large Language Models
by: Hu, Danqing, et al.
Published: (2024)

IgnitionInnovators at "Discharge Me!": Chain-of-Thought Instruction Finetuning Large Language Models for Discharge Summaries
by: Tang, An Quang, et al.
Published: (2024)

AE-GPT: Using Large Language Models to Extract Adverse Events from Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events
by: Li, Yiming, et al.
Published: (2023)

e-Health CSIRO at "Discharge Me!" 2024: Generating Discharge Summary Sections with Fine-tuned Language Models
by: Liu, Jinghui, et al.
Published: (2024)

Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
by: Hsu, Enshuo, et al.
Published: (2024)

Gender-Neutral Large Language Models for Medical Applications: Reducing Bias in PubMed Abstracts
by: Schaefer, Elizabeth, et al.
Published: (2025)

Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral
by: Cui, Yiming, et al.
Published: (2024)

AD-CDO: A Lightweight Ontology for Representing Eligibility Criteria in Alzheimer's Disease Clinical Trials
by: Sun, Zenan, et al.
Published: (2025)

Can GPT-3.5 Generate and Code Discharge Summaries?
by: Falis, Matúš, et al.
Published: (2024)

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

CancerLLM: A Large Language Model in Cancer Domain
by: Li, Mingchen, et al.
Published: (2024)

Comparing Large Language Models and Traditional Machine Translation Tools for Translating Medical Consultation Summaries: A Pilot Study
by: Li, Andy, et al.
Published: (2025)

Improving Large Language Models for Clinical Named Entity Recognition via Prompt Engineering
by: Hu, Yan, et al.
Published: (2023)

Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams
by: Cui, Yiming, et al.
Published: (2025)

UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models
by: Lyu, Mengxian, et al.
Published: (2024)

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models
by: Li, Feiyang, et al.
Published: (2025)

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study
by: Zhan, Zaifu, et al.
Published: (2026)

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists
by: Cui, Yue, et al.
Published: (2025)

Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models
by: Cui, Wanyun, et al.
Published: (2024)

A Comparative Study of Discrete Speech Tokens for Semantic-Related Tasks with Large Language Models
by: Wang, Dingdong, et al.
Published: (2024)

Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
by: Li, Qintong, et al.
Published: (2023)

SCE: Scalable Consistency Ensembles Make Blackbox Large Language Model Generation More Reliable
by: Zhang, Jiaxin, et al.
Published: (2025)

Multilingual Collaborative Defense for Large Language Models
by: Li, Hongliang, et al.
Published: (2025)

Prompting Large Language Models for Counterfactual Generation: An Empirical Study
by: Li, Yongqi, et al.
Published: (2023)

Controllable Abstraction in Summary Generation for Large Language Models via Prompt Engineering
by: Song, Xiangchen, et al.
Published: (2025)

Prompting Large Language Models for Clinical Temporal Relation Extraction
by: He, Jianping, et al.
Published: (2024)

Phase 1 Implementation of LLM-generated Discharge Summaries showing high Adoption in a Dutch Academic Hospital
by: Nadalini, Nettuno, et al.
Published: (2026)

A Survey on Knowledge Distillation of Large Language Models
by: Xu, Xiaohan, et al.
Published: (2024)

LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation
by: Li, Xiaodi, et al.
Published: (2025)

Chinese Discharge Drug Recommendation in Metabolic Diseases with Large Language Models
by: Li, Juntao, et al.
Published: (2025)

Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
by: Singh, Sanjeet, et al.
Published: (2024)

Information Extraction from Clinical Notes: Are We Ready to Switch to Large Language Models?
by: Hu, Yan, et al.
Published: (2024)

Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases
by: Yang, Yumeng, et al.
Published: (2024)

Generative Text Steganography with Large Language Model
by: Wu, Jiaxuan, et al.
Published: (2024)

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

Semantic-guided Diverse Decoding for Large Language Model
by: Shi, Weijie, et al.
Published: (2025)

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study
by: Cui, Menglong, et al.
Published: (2025)