Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Lyu, Guangtao, Liu, Qi, Xu, Chenghao, Yan, Jiexi, Yang, Muli, Li, Xueting, Fang, Fen, Deng, Cheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Revealing Perception and Generation Dynamics in LVLMs: Mitigating Hallucinations via Validated Dominance Correction
by: Lyu, Guangtao, et al.
Published: (2025)
by: Lyu, Guangtao, et al.
Published: (2025)
Towards Interpretable Hallucination Analysis and Mitigation in LVLMs via Contrastive Neuron Steering
by: Lyu, Guangtao, et al.
Published: (2026)
by: Lyu, Guangtao, et al.
Published: (2026)
Tempo as the Stable Cue: Hierarchical Mixture of Tempo and Beat Experts for Music to 3D Dance Generation
by: Lyu, Guangtao, et al.
Published: (2025)
by: Lyu, Guangtao, et al.
Published: (2025)
Towards Arbitrary Motion Completing via Hierarchical Continuous Representation
by: Xu, Chenghao, et al.
Published: (2025)
by: Xu, Chenghao, et al.
Published: (2025)
A Turn Toward Better Alignment: Few-Shot Generative Adaptation with Equivariant Feature Rotation
by: Xu, Chenghao, et al.
Published: (2025)
by: Xu, Chenghao, et al.
Published: (2025)
Beyond Global Alignment: Fine-Grained Motion-Language Retrieval via Pyramidal Shapley-Taylor Learning
by: Chen, Hanmo, et al.
Published: (2026)
by: Chen, Hanmo, et al.
Published: (2026)
Attention Hijackers: Detect and Disentangle Attention Hijacking in LVLMs for Hallucination Mitigation
by: Chen, Beitao, et al.
Published: (2025)
by: Chen, Beitao, et al.
Published: (2025)
A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation
by: Yu, Jiaping, et al.
Published: (2025)
by: Yu, Jiaping, et al.
Published: (2025)
AStF: Motion Style Transfer via Adaptive Statistics Fusor
by: Chen, Hanmo, et al.
Published: (2025)
by: Chen, Hanmo, et al.
Published: (2025)
SAVAA: Mitigating Hallucinations in LVLMs via Step-wise Adaptive Visual Attention Amplification
by: Zhang, Jiacheng, et al.
Published: (2026)
by: Zhang, Jiacheng, et al.
Published: (2026)
Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
by: Sun, Han, et al.
Published: (2026)
by: Sun, Han, et al.
Published: (2026)
Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs
by: Jo, Yujin, et al.
Published: (2026)
by: Jo, Yujin, et al.
Published: (2026)
Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs
by: Zhang, Xiaofeng, et al.
Published: (2024)
by: Zhang, Xiaofeng, et al.
Published: (2024)
MDSAM:Memory-Driven Sparse Attention Matrix for LVLMs Hallucination Mitigation
by: Lu, Shuaiye, et al.
Published: (2025)
by: Lu, Shuaiye, et al.
Published: (2025)
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
by: Hua, Zhenglin, et al.
Published: (2025)
by: Hua, Zhenglin, et al.
Published: (2025)
Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation
by: Yu, Chengzhi, et al.
Published: (2025)
by: Yu, Chengzhi, et al.
Published: (2025)
TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection
by: Jiang, Lei, et al.
Published: (2025)
by: Jiang, Lei, et al.
Published: (2025)
See Different, Think Better: Visual Variations Mitigating Hallucinations in LVLMs
by: Dai, Ziyun, et al.
Published: (2025)
by: Dai, Ziyun, et al.
Published: (2025)
Finding the Correct Visual Evidence Without Forgetting: Mitigating Hallucination in LVLMs via Inter-Layer Visual Attention Discrepancy
by: Xie, Yutong, et al.
Published: (2026)
by: Xie, Yutong, et al.
Published: (2026)
MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs
by: Ding, Wei, et al.
Published: (2026)
by: Ding, Wei, et al.
Published: (2026)
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)
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
by: Yu, Liu, et al.
Published: (2025)
by: Yu, Liu, et al.
Published: (2025)
MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs
by: Ge, Haonan, et al.
Published: (2025)
by: Ge, Haonan, et al.
Published: (2025)
Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation
by: Cai, Yujia, et al.
Published: (2026)
by: Cai, Yujia, et al.
Published: (2026)
Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement
by: Qin, Zhenxin, et al.
Published: (2026)
by: Qin, Zhenxin, et al.
Published: (2026)
Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination
by: Chen, Yangneng, et al.
Published: (2026)
by: Chen, Yangneng, et al.
Published: (2026)
HIME: Mitigating Object Hallucinations in LVLMs via Hallucination Insensitivity Model Editing
by: Akl, Ahmed, et al.
Published: (2026)
by: Akl, Ahmed, et al.
Published: (2026)
Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation
by: Li, Wenhao, et al.
Published: (2025)
by: Li, Wenhao, et al.
Published: (2025)
CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs
by: Kan, Zhehan, et al.
Published: (2024)
by: Kan, Zhehan, 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)
Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs
by: Ghosh, Sreyan, et al.
Published: (2024)
by: Ghosh, Sreyan, et al.
Published: (2024)
When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs
by: Zhao, Beidi, et al.
Published: (2026)
by: Zhao, Beidi, et al.
Published: (2026)
Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
Dynamic Policy Induction for Adaptive Prompt Optimization: Bridging the Efficiency-Accuracy Gap via Lightweight Reinforcement Learning
by: Xu, Jiexi
Published: (2025)
by: Xu, Jiexi
Published: (2025)
IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning
by: Sun, Zhichao, et al.
Published: (2026)
by: Sun, Zhichao, et al.
Published: (2026)
Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
by: Lim, Byeonggeuk, et al.
Published: (2026)
by: Lim, Byeonggeuk, et al.
Published: (2026)
Attention-Enhanced Vision Mamba U-Net
by: Wei, Xueting
Published: (2026)
by: Wei, Xueting
Published: (2026)
Paying More Attention to Image: A Training-Free Method for Alleviating Hallucination in LVLMs
by: Liu, Shi, et al.
Published: (2024)
by: Liu, Shi, et al.
Published: (2024)
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence
by: He, Jinghan, et al.
Published: (2024)
by: He, Jinghan, et al.
Published: (2024)
Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
by: Manevich, Avshalom, et al.
Published: (2024)
by: Manevich, Avshalom, et al.
Published: (2024)
Similar Items
-
Revealing Perception and Generation Dynamics in LVLMs: Mitigating Hallucinations via Validated Dominance Correction
by: Lyu, Guangtao, et al.
Published: (2025) -
Towards Interpretable Hallucination Analysis and Mitigation in LVLMs via Contrastive Neuron Steering
by: Lyu, Guangtao, et al.
Published: (2026) -
Tempo as the Stable Cue: Hierarchical Mixture of Tempo and Beat Experts for Music to 3D Dance Generation
by: Lyu, Guangtao, et al.
Published: (2025) -
Towards Arbitrary Motion Completing via Hierarchical Continuous Representation
by: Xu, Chenghao, et al.
Published: (2025) -
A Turn Toward Better Alignment: Few-Shot Generative Adaptation with Equivariant Feature Rotation
by: Xu, Chenghao, et al.
Published: (2025)