Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation

arXiv:2609.19093 · cs.CL, cs.AI · Submitted 2026-09-16 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-16

Updated: 2026-09-16

Comments: Preprint

Code: https://github.com/taekb/rrg-reref

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verifier — 24× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• APEX — 4× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• LLM judge — 2× in this paper · explained in 2 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Commentary — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
• Scaling medical imaging report generation with multimodal reinforcement learning
• Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• BERTScore: Evaluating Text Generation with BERT
• Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
• MedVersa: A Generalist Foundation Model for Medical Image Interpretation

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