Cover Image

MRScore: Evaluating Radiology Report Generation with LLM-based Reward System

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yunyi, Wang, Zhanyu, Li, Yingshu, Liang, Xinyu, Liu, Lingqiao, Wang, Lei, Zhou, Luping
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
by: Liu, Yunyi, et al.
Published: (2024)

RadReason: Radiology Report Evaluation Metric with Reasons and Sub-Scores
by: Li, Yingshu, et al.
Published: (2025)

KARGEN: Knowledge-enhanced Automated Radiology Report Generation Using Large Language Models
by: Li, Yingshu, et al.
Published: (2024)

S-RRG-Bench: Structured Radiology Report Generation with Fine-Grained Evaluation Framework
by: Li, Yingshu, et al.
Published: (2025)

A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis
by: Li, Yingshu, et al.
Published: (2023)

A Review of Longitudinal Radiology Report Generation: Dataset Composition, Methods, and Performance Evaluation
by: Zhou, Shaoyang, et al.
Published: (2025)

I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
by: Ren, Xuan, et al.
Published: (2024)

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

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

Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation
by: Wang, Chenyu, et al.
Published: (2024)

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

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

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

Rewarding Creativity: A Human-Aligned Generative Reward Model for Reinforcement Learning in Storytelling
by: Li, Zhaoyan, et al.
Published: (2026)

Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System
by: Zeng, Fang, et al.
Published: (2024)

Clinically Grounded Agent-based Report Evaluation: An Interpretable Metric for Radiology Report Generation
by: Dua, Radhika, et al.
Published: (2025)

You Can Generate It Again: Data-to-Text Generation with Verification and Correction Prompting
by: Ren, Xuan, et al.
Published: (2023)

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

StoryAlign: Evaluating and Training Reward Models for Story Generation
by: Xia, Haotian, et al.
Published: (2026)

CRIMSON: A Clinically-Grounded LLM-Based Metric for Generative Radiology Report Evaluation
by: Baharoon, Mohammed, et al.
Published: (2026)

R2GenCSR: Mining Contextual and Residual Information for LLMs-based Radiology Report Generation
by: Wang, Xiao, et al.
Published: (2024)

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
by: Liu, Chris Yuhao, et al.
Published: (2024)

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

Is Your LLM Outdated? A Deep Look at Temporal Generalization
by: Zhu, Chenghao, et al.
Published: (2024)

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

CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation
by: Jiang, Yuyang, et al.
Published: (2025)

Unleashing Scientific Reasoning for Bio-experimental Protocol Generation via Structured Component-based Reward Mechanism
by: Sun, Haoran, et al.
Published: (2025)

AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning
by: Ding, Liang
Published: (2026)

FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation
by: Jin, Song, et al.
Published: (2025)

GRAM: A Generative Foundation Reward Model for Reward Generalization
by: Wang, Chenglong, et al.
Published: (2025)

Split and Merge: Aligning Position Biases in LLM-based Evaluators
by: Li, Zongjie, et al.
Published: (2023)

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
by: Zhu, Qingqing, 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)

LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation
by: Wang, Zilong, et al.
Published: (2024)

Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
by: Peng, Hao, et al.
Published: (2025)

S2D-ALIGN: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation
by: Gao, Jiechao, et al.
Published: (2025)

MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling
by: Feng, Zhaopeng, et al.
Published: (2025)

Zero-Shot Detection of LLM-Generated Text via Implicit Reward Model
by: Liu, Runheng, et al.
Published: (2026)

Ran Score: a LLM-based Evaluation Score for Radiology Report Generation
by: Zhang, Ran, et al.
Published: (2026)

Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems
by: Wu, Wanxing, et al.
Published: (2026)