:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Jiaxin, Zhong, Ding, Wang, Yue, Yang, Zhidong, Kang, Zhaolu, Dong, Guangyuan, Zhan, Qishi, Fang, Pengcheng, Liu, Aofan
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.13156
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models
by: Liu, Jiaxin, et al.
Published: (2025)

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

Object-Centric Vision Token Pruning for Vision Language Models
by: Li, Guangyuan, et al.
Published: (2025)

On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
by: Seo, Hoigi, et al.
Published: (2025)

Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Vision
by: Li, Ling, et al.
Published: (2026)

Segmentation-Based Attention Entropy: Detecting and Mitigating Object Hallucinations in Large Vision-Language Models
by: Song, Jiale, et al.
Published: (2026)

Multi-Object Hallucination in Vision-Language Models
by: Chen, Xuweiyi, et al.
Published: (2024)

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
by: Wu, Junfei, et al.
Published: (2024)

Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models
by: Jia, Kaidi, et al.
Published: (2026)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)

Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
by: Liu, Yufang, et al.
Published: (2024)

CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models
by: Li, Qiming, et al.
Published: (2025)

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025)

Mitigating Object Hallucinations in Vision-Language Models through Region-Aware Attention Recalibration
by: Xu, Yuanzhi, et al.
Published: (2026)

RCP: Representation Consistency Pruner for Mitigating Distribution Shift in Large Vision-Language Models
by: Zhang, Jianwei, 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)

Language-Guided Token Compression with Reinforcement Learning in Large Vision-Language Models
by: Cao, Sihan, et al.
Published: (2026)

CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering
by: Li, Qiming, et al.
Published: (2026)

Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding
by: Ma, Ruiqi, et al.
Published: (2025)

Penny Wise, Pixel Foolish: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations
by: Qian, Jiachen, et al.
Published: (2026)

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

Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
by: Wu, Tsung-Han, et al.
Published: (2025)

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
by: Zhou, Yiyang, et al.
Published: (2023)

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

Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models
by: Lovenia, Holy, et al.
Published: (2023)

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
by: Zhu, Xingyu, et al.
Published: (2026)

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models
by: Chen, Jiawei, et al.
Published: (2024)

Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
by: Yang, Le, et al.
Published: (2024)

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs
by: Fang, Yu, et al.
Published: (2026)

Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models
by: Liu, Zijian, et al.
Published: (2026)

Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings
by: Agrawal, Aakriti, et al.
Published: (2025)

Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?
by: Geigle, Gregor, et al.
Published: (2024)

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models
by: Jing, Liqiang, et al.
Published: (2025)

HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models
by: Zohrabi, Reihaneh, et al.
Published: (2026)

Vision-Language Model for Object Detection and Segmentation: A Review and Evaluation
by: Feng, Yongchao, et al.
Published: (2025)

Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
by: Liu, Shuliang, et al.
Published: (2026)

Towards Vision-Language Geo-Foundation Model: A Survey
by: Zhou, Yue, et al.
Published: (2024)

VORD: Visual Ordinal Calibration for Mitigating Object Hallucinations in Large Vision-Language Models
by: Neo, Dexter, et al.
Published: (2024)

Mitigating Multilingual Hallucination in Large Vision-Language Models
by: Qu, Xiaoye, et al.
Published: (2024)

HTDC: Hesitation-Triggered Differential Calibration for Mitigating Hallucination in Large Vision-Language Models
by: Liu, Xinyun
Published: (2026)