Cover Image

Revealing Multi-View Hallucination in Large Vision-Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Wooje, Lee, Insu, Kim, Soohyun, Jang, Jaeyun, Noh, Minyoung, Shim, Kyuhong, Shim, Byonghyo
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs
by: Lee, Insu, et al.
Published: (2025)

Learning Primitive Relations for Compositional Zero-Shot Learning
by: Lee, Insu, et al.
Published: (2025)

Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Models
by: Kim, Donghoon, et al.
Published: (2024)

Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models
by: Kim, Donghoon, et al.
Published: (2025)

Role of Sensing and Computer Vision in 6G Wireless Communications
by: Kim, Seungnyun, et al.
Published: (2024)

Unlocking Transfer Learning for Open-World Few-Shot Recognition
by: Kim, Byeonggeun, et al.
Published: (2024)

VOMTC: Vision Objects for Millimeter and Terahertz Communications
by: Kim, Sunwoo, et al.
Published: (2024)

Unveiling the Response of Large Vision-Language Models to Visually Absent Tokens
by: Kim, Sohee, et al.
Published: (2025)

Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models
by: Ko, Donggeun, et al.
Published: (2024)

FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment
by: Kim, Myunsoo, et al.
Published: (2025)

3D-Aware Vision-Language Models Fine-Tuning with Geometric Distillation
by: Lee, Seonho, et al.
Published: (2025)

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?
by: Kim, Eunki, et al.
Published: (2025)

How Blind and Low-Vision Individuals Prefer Large Vision-Language Model-Generated Scene Descriptions
by: An, Na Min, et al.
Published: (2025)

Addressing Image Hallucination in Text-to-Image Generation through Factual Image Retrieval
by: Lim, Youngsun, et al.
Published: (2024)

Interpretable Debiasing of Vision-Language Models for Social Fairness
by: An, Na Min, et al.
Published: (2026)

Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
by: Kim, Dongseob, et al.
Published: (2025)

Adaptive Capacity Allocation for Vision Language Action Fine-tuning
by: Kim, Donghoon, et al.
Published: (2026)

Mordal: Automated Pretrained Model Selection for Vision Language Models
by: He, Shiqi, et al.
Published: (2025)

Evaluating Image Hallucination in Text-to-Image Generation with Question-Answering
by: Lim, Youngsun, et al.
Published: (2024)

Blind to Position, Biased in Language: Probing Mid-Layer Representational Bias in Vision-Language Encoders for Zero-Shot Language-Grounded Spatial Understanding
by: An, Na Min, et al.
Published: (2025)

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather
by: Park, Junsung, et al.
Published: (2024)

Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation
by: Park, Junsung, et al.
Published: (2024)

Keep it SymPL: Symbolic Projective Layout for Allocentric Spatial Reasoning in Vision-Language Models
by: Jang, Jaeyun, et al.
Published: (2026)

WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous Driving
by: Yu, Seungjun, et al.
Published: (2025)

Sampling Bag of Views for Open-Vocabulary Object Detection
by: Choi, Hojun, et al.
Published: (2024)

Grounding Driving VLA via Inverse Kinematics
by: Park, Junsung, et al.
Published: (2026)

Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning
by: Qu, Xiaoye, et al.
Published: (2024)

Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP
by: Kim, Eunji, et al.
Published: (2024)

No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather
by: Park, Junsung, et al.
Published: (2025)

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
by: Min, Kyungmin, et al.
Published: (2024)

Video-Oasis: Rethinking Evaluation of Video Understanding
by: Lim, Geuntaek, et al.
Published: (2026)

Review of Hallucination Understanding in Large Language and Vision Models
by: Ho, Zhengyi, et al.
Published: (2025)

Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2024)

HoliSafe: Holistic Safety Benchmarking and Modeling for Vision-Language Model
by: Lee, Youngwan, et al.
Published: (2025)

Mitigating Cross-Image Information Leakage in LVLMs for Multi-Image Tasks
by: Park, Yeji, et al.
Published: (2025)

SceneAware: Scene-Constrained Pedestrian Trajectory Prediction with LLM-Guided Walkability
by: Bai, Juho, et al.
Published: (2025)

ConVis: Contrastive Decoding with Hallucination Visualization for Mitigating Hallucinations in Multimodal Large Language Models
by: Park, Yeji, et al.
Published: (2024)

CrimEdit: Controllable Editing for Counterfactual Object Removal, Insertion, and Movement
by: Jeon, Boseong, et al.
Published: (2025)

Memory-Efficient Fine-Tuning for Quantized Diffusion Model
by: Ryu, Hyogon, et al.
Published: (2024)

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
by: Park, Jaehyun, et al.
Published: (2026)