mlsanityData to 7 Oct 2026

VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning

arXiv 2511.00504 ↗First posted 1 Nov 2025cs.CVcited by 3

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Abstract (arXiv)

We present VinDr-CXR-VQA, a large-scale chest X-ray dataset for explainable Medical Visual Question Answering (Med-VQA) with spatial grounding. The dataset contains 17,597 question-answer pairs across 4,394 images, each annotated with radiologist-verified bounding boxes and clinical reasoning explanations. Our question taxonomy spans six diagnostic types-Where, What, Is there, How many, Which, and Yes/No-capturing diverse clinical intents. To improve reliability, we construct a balanced distribution of 41.7% positive and 58.3% negative samples, mitigating hallucinations in normal cases. Benchmarking with MedGemma-4B-it demonstrates improved performance (F1 = 0.624, +11.8% over baseline) while enabling lesion localization. VinDr-CXR-VQA aims to advance reproducible and clinically grounded Med-VQA research. The dataset and evaluation tools are publicly available at huggingface.co/datasets/Dangindev/VinDR-CXR-VQA.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 15 of its 18 references that are in the map. First posted on arXiv 1 Nov 2025.

Builds on

15 of 18 references.

References · 15

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  2. 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilitiescited by 3,655
  3. 2023LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Daycited by 1,287
  4. 2017ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseasescited by 969
  5. 2024PaliGemma: A versatile 3B VLM for transfercited by 679
  6. 2020PathVQA: 30000+ Questions for Medical Visual Question Answeringcited by 467
  7. 2021SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answeringcited by 444
  8. 2020VinDr-CXR: An open dataset of chest X-rays with radiologist's annotationscited by 236
  9. 2024OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLMcited by 182
  10. 2021Medical Visual Question Answering: A Surveycited by 93
  11. 2021Chest ImaGenome Dataset for Clinical Reasoningcited by 89
  12. 2023XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Modelscited by 61
3 more
  1. 2023EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Imagescited by 53
  2. 2024GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosiscited by 28
  3. 2025MedXplain-VQA: Multi-Component Explainable Medical Visual Question Answeringcited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.

  1. 2026Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learningcited by 4
  2. 2026Beyond a Single Frame: Multi-Frame Spatially Grounded Reasoning Across Volumetric MRIcited by 1
  3. 2026CheXGround: Anatomical Region Tokens for Grounded Longitudinal Chest X-ray Interpretationcited by 0