Saved in:
| Main Authors: | Lyu, Guangtao, Cheng, Xinyi, Liu, Qi, Xu, Chenghao, Yan, Jiexi, Yang, Muli, Fang, Fen, Deng, Cheng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.00621 |
| 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)
Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs
by: Lyu, Guangtao, et al.
Published: (2026)
by: Lyu, Guangtao, et al.
Published: (2026)
Towards Arbitrary Motion Completing via Hierarchical Continuous Representation
by: Xu, Chenghao, et al.
Published: (2025)
by: Xu, Chenghao, et al.
Published: (2025)
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)
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)
Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
by: Hua, Zhenglin, et al.
Published: (2025)
by: Hua, Zhenglin, 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)
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)
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)
Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs
by: Jo, Yujin, et al.
Published: (2026)
by: Jo, Yujin, 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)
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering
by: Liu, Shuliang, et al.
Published: (2026)
by: Liu, Shuliang, et al.
Published: (2026)
Hystar: Hypernetwork-driven Style-adaptive Retrieval via Dynamic SVD Modulation
by: Cai, Yujia, et al.
Published: (2026)
by: Cai, Yujia, 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)
Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation
by: Yu, Chengzhi, et al.
Published: (2025)
by: Yu, Chengzhi, et al.
Published: (2025)
Countering the Over-Reliance Trap: Mitigating Object Hallucination for LVLMs via a Self-Validation Framework
by: Liu, Shiyu, et al.
Published: (2026)
by: Liu, Shiyu, 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)
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)
Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
by: Sun, Han, et al.
Published: (2026)
by: Sun, Han, et al.
Published: (2026)
Seeing It or Not? Interpretable Vision-aware Latent Steering to Mitigate Object Hallucinations
by: Chen, Boxu, et al.
Published: (2025)
by: Chen, Boxu, et al.
Published: (2025)
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)
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)
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)
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
by: Zhu, Yuehua, et al.
Published: (2020)
by: Zhu, Yuehua, et al.
Published: (2020)
Neural Gate: Mitigating Privacy Risks in LVLMs via Neuron-Level Gradient Gating
by: Cao, Xiangkui, et al.
Published: (2026)
by: Cao, Xiangkui, et al.
Published: (2026)
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)
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)
MDSAM:Memory-Driven Sparse Attention Matrix for LVLMs Hallucination Mitigation
by: Lu, Shuaiye, et al.
Published: (2025)
by: Lu, Shuaiye, 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)
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)
CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs
by: Huang, Xiaoyi, et al.
Published: (2026)
by: Huang, Xiaoyi, 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)
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)
One-shot Optimized Steering Vector for Hallucination Mitigation for VLMs
by: Shi, Youxu, et al.
Published: (2026)
by: Shi, Youxu, et al.
Published: (2026)
MaskCD: Mitigating LVLM Hallucinations by Image Head Masked Contrastive Decoding
by: Deng, Jingyuan, et al.
Published: (2025)
by: Deng, Jingyuan, et al.
Published: (2025)
Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated
by: Yang, Muli, et al.
Published: (2026)
by: Yang, Muli, et al.
Published: (2026)
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)
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)
Similar Items
-
Revealing Perception and Generation Dynamics in LVLMs: Mitigating Hallucinations via Validated Dominance Correction
by: Lyu, Guangtao, et al.
Published: (2025) -
Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs
by: Lyu, Guangtao, et al.
Published: (2026) -
Towards Arbitrary Motion Completing via Hierarchical Continuous Representation
by: Xu, Chenghao, et al.
Published: (2025) -
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) -
A Turn Toward Better Alignment: Few-Shot Generative Adaptation with Equivariant Feature Rotation
by: Xu, Chenghao, et al.
Published: (2025)