Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Lyu, Mengxian, Peng, Cheng, Chen, Ziyi, Zhang, Mengyuan, Lu, Jieting Li, Wu, Yonghui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Countering Catastrophic Forgetting of Large Language Models for Better Instruction Following via Weight-Space Model Merging
by: Lyu, Mengxian, et al.
Published: (2026)
by: Lyu, Mengxian, et al.
Published: (2026)
A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP
by: Peng, Cheng, et al.
Published: (2026)
by: Peng, Cheng, et al.
Published: (2026)
Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives
by: Chen, Ziyi, et al.
Published: (2026)
by: Chen, Ziyi, et al.
Published: (2026)
Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models
by: Chen, Ziyi, et al.
Published: (2026)
by: Chen, Ziyi, et al.
Published: (2026)
A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
by: Peng, Cheng, et al.
Published: (2025)
by: Peng, Cheng, et al.
Published: (2025)
Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning
by: Lyu, Mengxian, et al.
Published: (2024)
by: Lyu, Mengxian, et al.
Published: (2024)
Generative Large Language Models Trained for Detecting Errors in Radiology Reports
by: Sun, Cong, et al.
Published: (2025)
by: Sun, Cong, et al.
Published: (2025)
Summarizing Radiology Reports Findings into Impressions
by: de Padua, Raul Salles, et al.
Published: (2024)
by: de Padua, Raul Salles, et al.
Published: (2024)
Radiology-GPT: A Large Language Model for Radiology
by: Liu, Zhengliang, et al.
Published: (2023)
by: Liu, Zhengliang, et al.
Published: (2023)
Improving Radiology Report Conciseness and Structure via Local Large Language Models
by: Hartsock, Iryna, et al.
Published: (2024)
by: Hartsock, Iryna, et al.
Published: (2024)
Scaling Up Biomedical Vision-Language Models: Fine-Tuning, Instruction Tuning, and Multi-Modal Learning
by: Peng, Cheng, et al.
Published: (2025)
by: Peng, Cheng, et al.
Published: (2025)
Evaluating Large Language Models on Financial Report Summarization: An Empirical Study
by: Yang, Xinqi, et al.
Published: (2024)
by: Yang, Xinqi, et al.
Published: (2024)
Development and Validation of a Large Language Model for Generating Fully-Structured Radiology Reports
by: Niu, Chuang, et al.
Published: (2024)
by: Niu, Chuang, et al.
Published: (2024)
Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation
by: Wang, Xinyi, et al.
Published: (2026)
by: Wang, Xinyi, et al.
Published: (2026)
Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models
by: Vakharia, Priyesh, et al.
Published: (2023)
by: Vakharia, Priyesh, et al.
Published: (2023)
Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
by: Tan, Wenting, et al.
Published: (2024)
by: Tan, Wenting, et al.
Published: (2024)
Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model
by: Ben-Atya, Hadas, et al.
Published: (2025)
by: Ben-Atya, Hadas, et al.
Published: (2025)
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
by: Peng, Cheng, et al.
Published: (2023)
by: Peng, Cheng, et al.
Published: (2023)
Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System
by: Zeng, Fang, et al.
Published: (2024)
by: Zeng, Fang, et al.
Published: (2024)
Improving VTE Identification through Language Models from Radiology Reports: A Comparative Study of Mamba, Phi-3 Mini, and BERT
by: Deng, Jamie, et al.
Published: (2024)
by: Deng, Jamie, et al.
Published: (2024)
Evolving Subnetwork Training for Large Language Models
by: Li, Hanqi, et al.
Published: (2024)
by: Li, Hanqi, et al.
Published: (2024)
Natural Language Generation in Healthcare: A Review of Methods and Applications
by: Lyu, Mengxian, et al.
Published: (2025)
by: Lyu, Mengxian, et al.
Published: (2025)
Comparing Approaches to Automatic Summarization in Less-Resourced Languages
by: Palen-Michel, Chester, et al.
Published: (2025)
by: Palen-Michel, Chester, et al.
Published: (2025)
Automatic Input Rewriting Improves Translation with Large Language Models
by: Ki, Dayeon, et al.
Published: (2025)
by: Ki, Dayeon, et al.
Published: (2025)
Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
by: Li, Taiji, et al.
Published: (2024)
by: Li, Taiji, et al.
Published: (2024)
RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
by: Shetty, Saisha Pradeep, et al.
Published: (2026)
by: Shetty, Saisha Pradeep, et al.
Published: (2026)
Automatic Summarization of Long Documents
by: Chhibbar, Naman, et al.
Published: (2024)
by: Chhibbar, Naman, et al.
Published: (2024)
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)
by: Lyu, Mengxian, et al.
Published: (2024)
CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
by: Wei, Lingxiao, et al.
Published: (2024)
by: Wei, Lingxiao, et al.
Published: (2024)
Exploring Iterative Controllable Summarization with Large Language Models
by: Ryu, Sangwon, et al.
Published: (2024)
by: Ryu, Sangwon, et al.
Published: (2024)
MGH Radiology Llama: A Llama 3 70B Model for Radiology
by: Shi, Yucheng, et al.
Published: (2024)
by: Shi, Yucheng, et al.
Published: (2024)
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
by: Huang, Liangjie, et al.
Published: (2025)
by: Huang, Liangjie, et al.
Published: (2025)
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
by: Zhuang, Yuchen, et al.
Published: (2025)
by: Zhuang, Yuchen, et al.
Published: (2025)
TrueBrief: Faithful Summarization through Small Language Models
by: Lakara, Kumud, et al.
Published: (2025)
by: Lakara, Kumud, et al.
Published: (2025)
Automatic Instruction Evolving for Large Language Models
by: Zeng, Weihao, et al.
Published: (2024)
by: Zeng, Weihao, et al.
Published: (2024)
Credence Calibration Game? Calibrating Large Language Models through Structured Play
by: Fang, Ke, et al.
Published: (2025)
by: Fang, Ke, et al.
Published: (2025)
An Empirical Study of Many-to-Many Summarization with Large Language Models
by: Wang, Jiaan, et al.
Published: (2025)
by: Wang, Jiaan, et al.
Published: (2025)
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
by: Chrysostomou, George, et al.
Published: (2023)
by: Chrysostomou, George, et al.
Published: (2023)
Cross-Lingual Conversational Speech Summarization with Large Language Models
by: Nelson, Max, et al.
Published: (2024)
by: Nelson, Max, et al.
Published: (2024)
Conversational Disease Diagnosis via External Planner-Controlled Large Language Models
by: Sun, Zhoujian, et al.
Published: (2024)
by: Sun, Zhoujian, et al.
Published: (2024)
Similar Items
-
Countering Catastrophic Forgetting of Large Language Models for Better Instruction Following via Weight-Space Model Merging
by: Lyu, Mengxian, et al.
Published: (2026) -
A Parameter-Efficient Transfer Learning Approach through Multitask Prompt Distillation and Decomposition for Clinical NLP
by: Peng, Cheng, et al.
Published: (2026) -
Retrieval-Augmented LLMs for Evidence Localization in Clinical Trial Recruitment from Longitudinal EHR Narratives
by: Chen, Ziyi, et al.
Published: (2026) -
Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models
by: Chen, Ziyi, et al.
Published: (2026) -
A Study of Large Language Models for Patient Information Extraction: Model Architecture, Fine-Tuning Strategy, and Multi-task Instruction Tuning
by: Peng, Cheng, et al.
Published: (2025)