Saved in:
| Main Authors: | Wu, Yebo, Jin, Han, Guo, Zhijiang, Li, Li |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.10071 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM
by: Wang, Yujun, et al.
Published: (2025)
by: Wang, Yujun, et al.
Published: (2025)
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation
by: Jia, Sihang, et al.
Published: (2026)
by: Jia, Sihang, et al.
Published: (2026)
Energy-Guided Decoding for Object Hallucination Mitigation
by: Liu, Xixi, et al.
Published: (2025)
by: Liu, Xixi, et al.
Published: (2025)
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
by: Wang, Chenxi, et al.
Published: (2024)
by: Wang, Chenxi, et al.
Published: (2024)
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
by: Huo, Fushuo, et al.
Published: (2024)
by: Huo, Fushuo, et al.
Published: (2024)
InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration
by: Yang, Zhongyu, et al.
Published: (2025)
by: Yang, Zhongyu, et al.
Published: (2025)
Visual Attention Drifts,but Anchors Hold:Mitigating Hallucination in Multimodal Large Language Models via Cross-Layer Visual Anchors
by: Yang, Chengxu, et al.
Published: (2026)
by: Yang, Chengxu, et al.
Published: (2026)
Regional Attention for Shadow Removal
by: Liu, Hengxing, et al.
Published: (2024)
by: Liu, Hengxing, et al.
Published: (2024)
Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation
by: Tang, Lexiang, et al.
Published: (2025)
by: Tang, Lexiang, et al.
Published: (2025)
Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
by: Sun, Han, et al.
Published: (2026)
by: Sun, Han, et al.
Published: (2026)
Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models
by: Chen, Xinlong, et al.
Published: (2025)
by: Chen, Xinlong, et al.
Published: (2025)
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
by: Tang, Feilong, et al.
Published: (2025)
by: Tang, Feilong, 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)
VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs
by: Kolli, Govinda, et al.
Published: (2026)
by: Kolli, Govinda, et al.
Published: (2026)
Relaxing Anchor-Frame Dominance for Mitigating Hallucinations in Video Large Language Models
by: Liu, Zijian, et al.
Published: (2026)
by: Liu, Zijian, et al.
Published: (2026)
Mitigating Object Hallucination via Concentric Causal Attention
by: Xing, Yun, et al.
Published: (2024)
by: Xing, Yun, et al.
Published: (2024)
Tell Model Where to Look: Mitigating Hallucinations in MLLMs by Vision-Guided Attention
by: Zhao, Jianfei, et al.
Published: (2025)
by: Zhao, Jianfei, et al.
Published: (2025)
D2-Mamba: Dual-Scale Fusion and Dual-Path Scanning with SSMs for Shadow Removal
by: Li, Linhao, et al.
Published: (2025)
by: Li, Linhao, 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)
Beyond Single Models: Mitigating Multimodal Hallucinations via Adaptive Token Ensemble Decoding
by: Li, Jinlin, et al.
Published: (2025)
by: Li, Jinlin, 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)
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering
by: Li, Qiming, et al.
Published: (2026)
by: Li, Qiming, et al.
Published: (2026)
Do You Keep an Eye on What I Ask? Mitigating Multimodal Hallucination via Attention-Guided Ensemble Decoding
by: Cho, Yeongjae, et al.
Published: (2025)
by: Cho, Yeongjae, et al.
Published: (2025)
ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer
by: Hu, Jin, et al.
Published: (2024)
by: Hu, Jin, et al.
Published: (2024)
Mitigating Hallucination in Multimodal LLMs with Layer Contrastive Decoding
by: Tong, Bingkui, et al.
Published: (2025)
by: Tong, Bingkui, et al.
Published: (2025)
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)
AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing
by: Wang, Tianbo, et al.
Published: (2026)
by: Wang, Tianbo, et al.
Published: (2026)
Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs
by: Liang, Xiao, et al.
Published: (2025)
by: Liang, Xiao, et al.
Published: (2025)
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
by: Min, Kyungmin, et al.
Published: (2024)
by: Min, Kyungmin, et al.
Published: (2024)
SAGE: Sink-Aware Grounded Decoding for Multimodal Hallucination Mitigation
by: Shukla, Tripti, et al.
Published: (2026)
by: Shukla, Tripti, et al.
Published: (2026)
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)
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)
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)
AttAnchor: Guiding Cross-Modal Token Alignment in VLMs with Attention Anchors
by: Zhang, Junyang, et al.
Published: (2025)
by: Zhang, Junyang, 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)
YARD: Y-Architecture Register Decoding for Efficient Hallucination Mitigation in Large Vision-Language Models
by: Chen, Ting, et al.
Published: (2026)
by: Chen, Ting, et al.
Published: (2026)
Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation
by: Oorloff, Trevine, et al.
Published: (2025)
by: Oorloff, Trevine, et al.
Published: (2025)
MLLM as Video Narrator: Mitigating Modality Imbalance in Video Moment Retrieval
by: Cai, Weitong, et al.
Published: (2024)
by: Cai, Weitong, et al.
Published: (2024)
SDCD: Structure-Disrupted Contrastive Decoding for Mitigating Hallucinations in Large Vision-Language Models
by: Xia, Yuxuan, et al.
Published: (2026)
by: Xia, Yuxuan, et al.
Published: (2026)
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)
Similar Items
-
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM
by: Wang, Yujun, et al.
Published: (2025) -
Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation
by: Jia, Sihang, et al.
Published: (2026) -
Energy-Guided Decoding for Object Hallucination Mitigation
by: Liu, Xixi, et al.
Published: (2025) -
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
by: Wang, Chenxi, et al.
Published: (2024) -
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
by: Huo, Fushuo, et al.
Published: (2024)