Attention at Rest Stays at Rest: Breaking Visual Inertia for Cognitive Hallucination Mitigation
Fuente:
arXiv
Saved in:
| Main Authors: | Gong, Boyang, Zheng, Yu, Kong, Fanye, Zhou, Jie, Lu, Jiwen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Counterfactually Decoupled Attention for Open-World Model Attribution
by: Zheng, Yu, et al.
Published: (2025)
by: Zheng, Yu, et al.
Published: (2025)
Cross-Modal Attention Calibration for LVLM Hallucination Mitigation
by: Li, Jiaming, et al.
Published: (2025)
by: Li, Jiaming, 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)
BAMI: Training-Free Bias Mitigation in GUI Grounding
by: Zhang, Borui, et al.
Published: (2026)
by: Zhang, Borui, et al.
Published: (2026)
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
by: Li, Yuanshuai, et al.
Published: (2025)
by: Li, Yuanshuai, 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)
Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
by: Sun, Han, et al.
Published: (2026)
by: Sun, Han, et al.
Published: (2026)
Looking Back and Forth: Cross-Image Attention Calibration and Attentive Preference Learning for Multi-Image Hallucination Mitigation
by: Yang, Xiaochen, et al.
Published: (2026)
by: Yang, Xiaochen, et al.
Published: (2026)
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction
by: Huang, Yuanhui, et al.
Published: (2024)
by: Huang, Yuanhui, et al.
Published: (2024)
SpectralAR: Spectral Autoregressive Visual Generation
by: Huang, Yuanhui, et al.
Published: (2025)
by: Huang, Yuanhui, et al.
Published: (2025)
Streaming 4D Visual Geometry Transformer
by: Zhuo, Dong, et al.
Published: (2025)
by: Zhuo, Dong, et al.
Published: (2025)
Thinking Before Looking: Improving Multimodal LLM Reasoning via Mitigating Visual Hallucination
by: Zheng, Haojie, et al.
Published: (2024)
by: Zheng, Haojie, et al.
Published: (2024)
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation
by: Wang, Ziyi, et al.
Published: (2024)
by: Wang, Ziyi, et al.
Published: (2024)
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
$\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection
by: Zhang, Yanran, et al.
Published: (2025)
by: Zhang, Yanran, et al.
Published: (2025)
Point3R: Streaming 3D Reconstruction with Explicit Spatial Pointer Memory
by: Wu, Yuqi, et al.
Published: (2025)
by: Wu, Yuqi, et al.
Published: (2025)
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025)
by: Zhu, Younan, et al.
Published: (2025)
Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation
by: Mao, Jiawei, et al.
Published: (2026)
by: Mao, Jiawei, et al.
Published: (2026)
Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models
by: Yin, Jianghao, et al.
Published: (2026)
by: Yin, Jianghao, et al.
Published: (2026)
Global Context or Local Detail? Adaptive Visual Grounding for Hallucination Mitigation
by: Jiang, Yubo, et al.
Published: (2026)
by: Jiang, Yubo, et al.
Published: (2026)
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)
MAP: Mitigating Hallucinations in Large Vision-Language Models with Map-Level Attention Processing
by: Li, Chenxi, et al.
Published: (2025)
by: Li, Chenxi, 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)
When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs
by: Cao, Fanpu, et al.
Published: (2026)
by: Cao, Fanpu, et al.
Published: (2026)
SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination
by: Park, Sangha, et al.
Published: (2025)
by: Park, Sangha, et al.
Published: (2025)
Vega: Learning to Drive with Natural Language Instructions
by: Zuo, Sicheng, et al.
Published: (2026)
by: Zuo, Sicheng, et al.
Published: (2026)
Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection
by: Dai, Boyang, et al.
Published: (2026)
by: Dai, Boyang, et al.
Published: (2026)
Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation
by: Yu, Chengzhi, et al.
Published: (2025)
by: Yu, Chengzhi, 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)
V-ITI: Mitigating Hallucinations in Multimodal Large Language Models via Visual Inference-Time Intervention
by: Sun, Nan, et al.
Published: (2025)
by: Sun, Nan, et al.
Published: (2025)
Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
by: Li, Quanjiang, et al.
Published: (2026)
by: Li, Quanjiang, 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)
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
by: Dong, Xin, et al.
Published: (2025)
by: Dong, Xin, et al.
Published: (2025)
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruning
by: Moser, Brian B., et al.
Published: (2024)
by: Moser, Brian B., et al.
Published: (2024)
GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction
by: Zuo, Sicheng, et al.
Published: (2024)
by: Zuo, Sicheng, et al.
Published: (2024)
Mitigating Open-Vocabulary Caption Hallucinations
by: Ben-Kish, Assaf, et al.
Published: (2023)
by: Ben-Kish, Assaf, et al.
Published: (2023)
Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
by: Zhou, Chuyang, et al.
Published: (2025)
by: Zhou, Chuyang, et al.
Published: (2025)
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language Models
by: Yin, Hao, et al.
Published: (2025)
by: Yin, Hao, et al.
Published: (2025)
Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
by: Qian, Jiaye, et al.
Published: (2025)
by: Qian, Jiaye, et al.
Published: (2025)
Similar Items
-
Learning Counterfactually Decoupled Attention for Open-World Model Attribution
by: Zheng, Yu, et al.
Published: (2025) -
Cross-Modal Attention Calibration for LVLM Hallucination Mitigation
by: Li, Jiaming, et al.
Published: (2025) -
Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
by: Yu, Liu, et al.
Published: (2025) -
BAMI: Training-Free Bias Mitigation in GUI Grounding
by: Zhang, Borui, et al.
Published: (2026) -
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs
by: Li, Yuanshuai, et al.
Published: (2025)