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Main Authors:	Hartsock, Iryna, Araujo, Cyrillo, Folio, Les, Rasool, Ghulam
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2411.05042
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Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026)

Development and Validation of a Large Language Model for Generating Fully-Structured Radiology Reports
by: Niu, Chuang, et al.
Published: (2024)

Standardizing Longitudinal Radiology Report Evaluation via Large Language Model Annotation
by: Wang, Xinyi, et al.
Published: (2026)

Radiology-GPT: A Large Language Model for Radiology
by: Liu, Zhengliang, et al.
Published: (2023)

Generative Large Language Models Trained for Detecting Errors in Radiology Reports
by: Sun, Cong, et al.
Published: (2025)

Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model
by: Ben-Atya, Hadas, et al.
Published: (2025)

Concise and Organized Perception Facilitates Reasoning in Large Language Models
by: Liu, Junjie, et al.
Published: (2023)

The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
by: Renze, Matthew, et al.
Published: (2024)

Self-Training Elicits Concise Reasoning in Large Language Models
by: Munkhbat, Tergel, et al.
Published: (2025)

RadEx: A Framework for Structured Information Extraction from Radiology Reports based on Large Language Models
by: Reichenpfader, Daniel, et al.
Published: (2024)

RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
by: Shetty, Saisha Pradeep, et al.
Published: (2026)

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
by: Messina, Pablo, et al.
Published: (2024)

Multimodal Large Language Models to Support Real-World Fact-Checking
by: Geng, Jiahui, et al.
Published: (2024)

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey
by: Zhu, Jason, et al.
Published: (2025)

Steering Large Reasoning Models towards Concise Reasoning via Flow Matching
by: Li, Yawei, et al.
Published: (2026)

Multilingual Natural Language Processing Model for Radiology Reports -- The Summary is all you need!
by: Lindo, Mariana, et al.
Published: (2023)

Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging
by: Matsuo, Hidetoshi, et al.
Published: (2024)

A Survey of Confidence Estimation and Calibration in Large Language Models
by: Geng, Jiahui, et al.
Published: (2023)

Summarizing Radiology Reports Findings into Impressions
by: de Padua, Raul Salles, et al.
Published: (2024)

HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization
by: Huang, Chengyu, et al.
Published: (2025)

Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language
by: Hazan, Liam, et al.
Published: (2024)

IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
by: Paul, Indraneil, et al.
Published: (2024)

Offline Learning and Forgetting for Reasoning with Large Language Models
by: Ni, Tianwei, et al.
Published: (2025)

ConciseHint: Boosting Efficient Reasoning via Continuous Concise Hints during Generation
by: Tang, Siao, et al.
Published: (2025)

PARROT: An Open Multilingual Radiology Reports Dataset
by: Guellec, Bastien Le, et al.
Published: (2025)

Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports
by: Thomas, Alois, et al.
Published: (2025)

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)

SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models
by: Kapadnis, Manav Nitin, et al.
Published: (2024)

GREEN: Generative Radiology Report Evaluation and Error Notation
by: Ostmeier, Sophie, et al.
Published: (2024)

VERT: Reliable LLM Judges for Radiology Report Evaluation
by: Bologna, Federica, et al.
Published: (2026)

Multi-RADS Synthetic Radiology Report Dataset and Head-to-Head Benchmarking of 41 Open-Weight and Proprietary Language Models
by: Bose, Kartik, et al.
Published: (2026)

Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)

MGH Radiology Llama: A Llama 3 70B Model for Radiology
by: Shi, Yucheng, et al.
Published: (2024)

Coarse-to-Fine Personalized LLM Impressions for Streamlined Radiology Reports
by: Sun, Chengbo, et al.
Published: (2025)

Improving Multilingual Capabilities with Cultural and Local Knowledge in Large Language Models While Enhancing Native Performance
by: Kadiyala, Ram Mohan Rao, et al.
Published: (2025)

SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models
by: Rizvi, Md Imbesat Hassan, et al.
Published: (2024)

MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis
by: Alkhaldi, Asma, et al.
Published: (2024)

Improving Attributed Text Generation of Large Language Models via Preference Learning
by: Li, Dongfang, et al.
Published: (2024)

Process Supervision via Verbal Critique Improves Reasoning in Large Language Models
by: Chen, Hao-Yuan
Published: (2026)

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