Mitigating Object Hallucination via Robust Local Perception Search
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Zixian, Yang, Chao, Zhou, Zhanhui, Xu, Xing, Lu, Chaochao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating Object Hallucination via Concentric Causal Attention
by: Xing, Yun, et al.
Published: (2024)
by: Xing, Yun, et al.
Published: (2024)
VLMs Can Aggregate Scattered Training Patches
by: Zhou, Zhanhui, et al.
Published: (2025)
by: Zhou, Zhanhui, et al.
Published: (2025)
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
by: Fu, Yuhan, et al.
Published: (2024)
by: Fu, Yuhan, et al.
Published: (2024)
Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
by: Oh, Hongseok, et al.
Published: (2025)
by: Oh, Hongseok, et al.
Published: (2025)
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
by: Li, Yifan, et al.
Published: (2025)
by: Li, Yifan, et al.
Published: (2025)
Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations
by: Li, Shuo, et al.
Published: (2025)
by: Li, Shuo, et al.
Published: (2025)
Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens
by: Zheng, Haohan, et al.
Published: (2025)
by: Zheng, Haohan, 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)
Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding
by: Ma, Ruiqi, et al.
Published: (2025)
by: Ma, Ruiqi, et al.
Published: (2025)
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
by: An, Wenbin, et al.
Published: (2024)
by: An, Wenbin, et al.
Published: (2024)
Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective
by: Chen, Meiqi, et al.
Published: (2024)
by: Chen, Meiqi, et al.
Published: (2024)
Mitigating Multimodal Hallucination via Phase-wise Self-reward
by: Zhang, Yu, et al.
Published: (2026)
by: Zhang, Yu, et al.
Published: (2026)
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
by: Zhou, Yiyang, et al.
Published: (2023)
by: Zhou, Yiyang, et al.
Published: (2023)
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models
by: Chen, Junzhe, et al.
Published: (2024)
by: Chen, Junzhe, et al.
Published: (2024)
Systematic Reward Gap Optimization for Mitigating VLM Hallucinations
by: He, Lehan, et al.
Published: (2024)
by: He, Lehan, et al.
Published: (2024)
Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive Decoding
by: Chen, Boqi, et al.
Published: (2026)
by: Chen, Boqi, et al.
Published: (2026)
Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection
by: Wang, Shan, et al.
Published: (2025)
by: Wang, Shan, et al.
Published: (2025)
Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
by: Compagnoni, Alberto, et al.
Published: (2025)
by: Compagnoni, Alberto, et al.
Published: (2025)
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)
GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
by: Park, Seongheon, et al.
Published: (2025)
by: Park, Seongheon, et al.
Published: (2025)
Reinforced Visual Perception with Tools
by: Zhou, Zetong, et al.
Published: (2025)
by: Zhou, Zetong, et al.
Published: (2025)
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)
by: Woo, Sangmin, et al.
Published: (2025)
Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
by: Deng, Haolin, et al.
Published: (2026)
by: Deng, Haolin, et al.
Published: (2026)
VEGAS: Mitigating Hallucinations in Large Vision-Language Models via Vision-Encoder Attention Guided Adaptive Steering
by: Wang, Zihu, et al.
Published: (2025)
by: Wang, Zihu, et al.
Published: (2025)
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding
by: Yang, Jianjiang, et al.
Published: (2025)
by: Yang, Jianjiang, et al.
Published: (2025)
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention
by: Ye, Zekai, et al.
Published: (2025)
by: Ye, Zekai, et al.
Published: (2025)
EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
by: Xing, Shangyu, et al.
Published: (2024)
by: Xing, Shangyu, et al.
Published: (2024)
Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment
by: Chang, Kai-Po, et al.
Published: (2025)
by: Chang, Kai-Po, et al.
Published: (2025)
Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions
by: Fu, Yuhan, et al.
Published: (2024)
by: Fu, Yuhan, et al.
Published: (2024)
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding
by: Yuan, Fan, et al.
Published: (2024)
by: Yuan, Fan, 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)
NoLan: Mitigating Object Hallucinations in Large Vision-Language Models via Dynamic Suppression of Language Priors
by: Ren, Lingfeng, et al.
Published: (2026)
by: Ren, Lingfeng, et al.
Published: (2026)
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation
by: Jia, Sihang, et al.
Published: (2026)
by: Jia, Sihang, et al.
Published: (2026)
The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
by: Yin, Hao, et al.
Published: (2025)
by: Yin, Hao, et al.
Published: (2025)
Multi-Object Hallucination in Vision-Language Models
by: Chen, Xuweiyi, et al.
Published: (2024)
by: Chen, Xuweiyi, et al.
Published: (2024)
Taming Object Hallucinations with Verified Atomic Confidence Estimation
by: Liu, Jiarui, et al.
Published: (2025)
by: Liu, Jiarui, et al.
Published: (2025)
Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception
by: Wu, Yuanchen, et al.
Published: (2025)
by: Wu, Yuanchen, et al.
Published: (2025)
Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration
by: Fazli, Mehrdad, et al.
Published: (2025)
by: Fazli, Mehrdad, et al.
Published: (2025)
Mitigating Object Hallucination in Large Vision-Language Models via Image-Grounded Guidance
by: Zhao, Linxi, et al.
Published: (2024)
by: Zhao, Linxi, et al.
Published: (2024)
Similar Items
-
Mitigating Object Hallucination via Concentric Causal Attention
by: Xing, Yun, et al.
Published: (2024) -
VLMs Can Aggregate Scattered Training Patches
by: Zhou, Zhanhui, et al.
Published: (2025) -
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
by: Fu, Yuhan, et al.
Published: (2024) -
Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
by: Oh, Hongseok, et al.
Published: (2025) -
Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)