Cover Image

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Jiawei, Yang, Dingkang, Wu, Tong, Jiang, Yue, Hou, Xiaolu, Li, Mingcheng, Wang, Shunli, Xiao, Dongling, Li, Ke, Zhang, Lihua
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation
by: Jiang, Yue, et al.
Published: (2024)

Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models
by: Chen, Jiawei, et al.
Published: (2024)

MaskBEV: Towards A Unified Framework for BEV Detection and Map Segmentation
by: Zhao, Xiao, et al.
Published: (2024)

Can LLMs' Tuning Methods Work in Medical Multimodal Domain?
by: Chen, Jiawei, et al.
Published: (2024)

SatireDecoder: Visual Cascaded Decoupling for Enhancing Satirical Image Comprehension
by: Jiang, Yue, et al.
Published: (2025)

Robust Emotion Recognition in Context Debiasing
by: Yang, Dingkang, et al.
Published: (2024)

ProFocus: Proactive Perception and Focused Reasoning in Vision-and-Language Navigation
by: Xue, Wei, et al.
Published: (2026)

MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation
by: Li, Mingcheng, et al.
Published: (2025)

Faster Diffusion Action Segmentation
by: Wang, Shuaibing, et al.
Published: (2024)

HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images
by: Wang, Shuaibing, et al.
Published: (2024)

BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
by: Hou, Xiaolu, et al.
Published: (2025)

Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
by: Li, Mingcheng, et al.
Published: (2024)

Towards Multimodal Sentiment Analysis Debiasing via Bias Purification
by: Yang, Dingkang, et al.
Published: (2024)

PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications
by: Yang, Dingkang, et al.
Published: (2024)

Skip and Skip: Segmenting Medical Images with Prompts
by: Chen, Jiawei, et al.
Published: (2024)

Large Vision-Language Models as Emotion Recognizers in Context Awareness
by: Lei, Yuxuan, et al.
Published: (2024)

MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
by: Jiang, Yue, et al.
Published: (2026)

Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understanding
by: Liu, Keliang, et al.
Published: (2025)

MISS: A Generative Pretraining and Finetuning Approach for Med-VQA
by: Chen, Jiawei, et al.
Published: (2024)

Improving Multimodal Sentiment Analysis via Modality Optimization and Dynamic Primary Modality Selection
by: Yang, Dingkang, et al.
Published: (2025)

Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
by: Yang, Dingkang, et al.
Published: (2024)

Asynchronous Multimodal Video Sequence Fusion via Learning Modality-Exclusive and -Agnostic Representations
by: Yang, Dingkang, et al.
Published: (2024)

FysicsWorld: A Unified Full-Modality Benchmark for Any-to-Any Understanding, Generation, and Reasoning
by: Jiang, Yue, et al.
Published: (2025)

Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
by: Wu, Mingrui, et al.
Published: (2024)

SMCD: High Realism Motion Style Transfer via Mamba-based Diffusion
by: Qian, Ziyun, et al.
Published: (2024)

A Survey on Hallucination in Large Vision-Language Models
by: Liu, Hanchao, et al.
Published: (2024)

Anomaly Detection by Adapting a pre-trained Vision Language Model
by: Cai, Yuxuan, et al.
Published: (2024)

OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization
by: Han, Minghao, et al.
Published: (2026)

UniVRSE: Unified Vision-conditioned Response Semantic Entropy for Hallucination Detection in Medical Vision-Language Models
by: Liao, Zehui, et al.
Published: (2025)

Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
by: Li, Mingcheng, et al.
Published: (2024)

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
by: Jing, Liqiang, et al.
Published: (2023)

DO-Bench: An Attributable Benchmark for Diagnosing Object Hallucination in Vision-Language Models
by: Wang, JiYang, et al.
Published: (2026)

PersonaAnimator: Personalized Motion Transfer from Unconstrained Videos
by: Qian, Ziyun, et al.
Published: (2025)

HybridOcc: NeRF Enhanced Transformer-based Multi-Camera 3D Occupancy Prediction
by: Zhao, Xiao, et al.
Published: (2024)

From Pixels to Tokens: Revisiting Object Hallucinations in Large Vision-Language Models
by: Shang, Yuying, et al.
Published: (2024)

MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models
by: Chang, Aofei, et al.
Published: (2025)

INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
by: Dong, Xin, et al.
Published: (2025)

MedVH: Towards Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
by: Gu, Zishan, et al.
Published: (2024)

Detecting and Preventing Hallucinations in Large Vision Language Models
by: Gunjal, Anisha, et al.
Published: (2023)

A Unified Hallucination Mitigation Framework for Large Vision-Language Models
by: Chang, Yue, et al.
Published: (2024)