Enhancing Visual Reasoning in Chest X-Ray Report Generation Using Reinforcement Learning
cs.CV
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- Qwen3-VL Technical Report
- Hallucination of Multimodal Large Language Models: A Survey
- MAIRA-2: Grounded Radiology Report Generation
- CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
- ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification
- Enhancing Radiology Report Generation and Visual Grounding using Reinforcement Learning
- Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
- RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
- Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-Tuning
- Toward Clinically Explainable AI for Medical Diagnosis: A Foundation Model with Human-Compatible Reasoning via Reinforcement Learning
- Scaling medical imaging report generation with multimodal reinforcement learning
- MedGemma Technical Report
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model
- Chest ImaGenome Dataset for Clinical Reasoning
- Qwen3 Technical Report
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- BERTScore: Evaluating Text Generation with BERT
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