HalluCXR: Benchmarking and Mitigating Hallucinations in Medical Vision-Language Models for Chest Radiograph Interpretation
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Haoyu, Li, Zitong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
by: Yang, Le, et al.
Published: (2024)
by: Yang, Le, et al.
Published: (2024)
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
by: Thawakar, Omkar, et al.
Published: (2023)
by: Thawakar, Omkar, et al.
Published: (2023)
Rethinking Noise-Robust Training for Frozen Vision Foundation Models: A Cross-Dataset Benchmark with a Case Study of Small-Loss Failure
by: Li, Zitong, et al.
Published: (2026)
by: Li, Zitong, et al.
Published: (2026)
CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis
by: Tang, Yiming, et al.
Published: (2025)
by: Tang, Yiming, et al.
Published: (2025)
CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification
by: Kavitha, Muthu Subash, et al.
Published: (2026)
by: Kavitha, Muthu Subash, et al.
Published: (2026)
HalluRNN: Mitigating Hallucinations via Recurrent Cross-Layer Reasoning in Large Vision-Language Models
by: Yu, Le, et al.
Published: (2025)
by: Yu, Le, et al.
Published: (2025)
MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
by: Chang, Aofei, et al.
Published: (2025)
by: Chang, Aofei, et al.
Published: (2025)
MedHallTune: An Instruction-Tuning Benchmark for Mitigating Medical Hallucination in Vision-Language Models
by: Yan, Qiao, et al.
Published: (2025)
by: Yan, Qiao, et al.
Published: (2025)
Benchmarking CXR Foundation Models With Publicly Available MIMIC-CXR and NIH-CXR14 Datasets
by: Shin, Jiho, et al.
Published: (2025)
by: Shin, Jiho, et al.
Published: (2025)
MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays
by: Cho, Sunghwan Steve, et al.
Published: (2026)
by: Cho, Sunghwan Steve, et al.
Published: (2026)
Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation
by: Li, Qiming, et al.
Published: (2025)
by: Li, Qiming, et al.
Published: (2025)
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
by: Li, Zongxia, et al.
Published: (2025)
by: Li, Zongxia, et al.
Published: (2025)
CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
by: Chen, Yixiong, et al.
Published: (2025)
by: Chen, Yixiong, et al.
Published: (2025)
HalluShift++: Bridging Language and Vision through Internal Representation Shifts for Hierarchical Hallucinations in MLLMs
by: Nath, Sujoy, et al.
Published: (2025)
by: Nath, Sujoy, et al.
Published: (2025)
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
by: Jiang, Nick, et al.
Published: (2024)
by: Jiang, Nick, et al.
Published: (2024)
Mitigating Image Captioning Hallucinations in Vision-Language Models
by: Zhao, Fei, et al.
Published: (2025)
by: Zhao, Fei, et al.
Published: (2025)
PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation
by: Musinguzi, Denis, et al.
Published: (2025)
by: Musinguzi, Denis, et al.
Published: (2025)
Benchmarking and Mitigating Sycophancy in Medical Vision Language Models
by: Xu, Juangui, et al.
Published: (2025)
by: Xu, Juangui, et al.
Published: (2025)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
by: Lu, Yifan, et al.
Published: (2025)
by: Lu, Yifan, et al.
Published: (2025)
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models
by: Chen, Jiawei, et al.
Published: (2024)
by: Chen, Jiawei, et al.
Published: (2024)
CXR-ContraBench: Benchmarking Negated-Option Attraction in Medical VLMs
by: Fang, Zhengru, et al.
Published: (2026)
by: Fang, Zhengru, et al.
Published: (2026)
Learning A Multi-Task Transformer Via Unified And Customized Instruction Tuning For Chest Radiograph Interpretation
by: Xu, Lijian, et al.
Published: (2023)
by: Xu, Lijian, et al.
Published: (2023)
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation
by: Park, Jonggwon, et al.
Published: (2024)
by: Park, Jonggwon, et al.
Published: (2024)
Chest-Diffusion: A Light-Weight Text-to-Image Model for Report-to-CXR Generation
by: Huang, Peng, et al.
Published: (2024)
by: Huang, Peng, et al.
Published: (2024)
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
by: Wang, Weihang, et al.
Published: (2025)
by: Wang, Weihang, et al.
Published: (2025)
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
by: Zhu, Xingyu, et al.
Published: (2026)
by: Zhu, Xingyu, et al.
Published: (2026)
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
by: Zhou, Yang, et al.
Published: (2024)
by: Zhou, Yang, et al.
Published: (2024)
Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
by: Mahdavi, Zahra, et al.
Published: (2025)
by: Mahdavi, Zahra, et al.
Published: (2025)
SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation
by: Wu, Jinge, et al.
Published: (2024)
by: Wu, Jinge, et al.
Published: (2024)
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models
by: Zhang, Jinrui, et al.
Published: (2024)
by: Zhang, Jinrui, et al.
Published: (2024)
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs
by: Ding, Peng, et al.
Published: (2024)
by: Ding, Peng, et al.
Published: (2024)
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models
by: Sun, Yaqi, et al.
Published: (2025)
by: Sun, Yaqi, et al.
Published: (2025)
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
by: Pham, Trong Thang, et al.
Published: (2024)
by: Pham, Trong Thang, et al.
Published: (2024)
MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models
by: Li, Jiale, et al.
Published: (2025)
by: Li, Jiale, et al.
Published: (2025)
X-WIN: Building Chest Radiograph World Model via Predictive Sensing
by: Yang, Zefan, et al.
Published: (2025)
by: Yang, Zefan, et al.
Published: (2025)
Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens
by: Jiang, Zhangqi, et al.
Published: (2024)
by: Jiang, Zhangqi, et al.
Published: (2024)
Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
by: Li, Bin, et al.
Published: (2025)
by: Li, Bin, et al.
Published: (2025)
ReCo: Reminder Composition Mitigates Hallucinations in Vision-Language Models
by: Chytas, Sotirios Panagiotis, et al.
Published: (2025)
by: Chytas, Sotirios Panagiotis, et al.
Published: (2025)
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection
by: Bai, Haoyu, et al.
Published: (2025)
by: Bai, Haoyu, et al.
Published: (2025)
When Text Hijacks Vision: Benchmarking and Mitigating Text Overlay-Induced Hallucination in Vision Language Models
by: Yakun, Cui, et al.
Published: (2026)
by: Yakun, Cui, et al.
Published: (2026)
Similar Items
-
Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
by: Yang, Le, et al.
Published: (2024) -
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
by: Thawakar, Omkar, et al.
Published: (2023) -
Rethinking Noise-Robust Training for Frozen Vision Foundation Models: A Cross-Dataset Benchmark with a Case Study of Small-Loss Failure
by: Li, Zitong, et al.
Published: (2026) -
CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis
by: Tang, Yiming, et al.
Published: (2025) -
CARL-CXR: Continual Adapter-Based Routing for Task-Unknown Chest Radiograph Classification
by: Kavitha, Muthu Subash, et al.
Published: (2026)