HulluEdit: Single-Pass Evidence-Consistent Subspace Editing for Mitigating Hallucinations in Large Vision-Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Lin, Yangguang, Fang, Quan, Li, Yufei, Sun, Jiachen, Gao, Junyu, Sang, Jitao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
por: Wang, Jiaqi, et al.
Publicado: (2024)
por: Wang, Jiaqi, et al.
Publicado: (2024)
AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language Models
por: Gao, Yifei, et al.
Publicado: (2024)
por: Gao, Yifei, et al.
Publicado: (2024)
Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning
por: Hu, Rui, et al.
Publicado: (2024)
por: Hu, Rui, et al.
Publicado: (2024)
ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
por: Tu, Yahan, et al.
Publicado: (2024)
por: Tu, Yahan, et al.
Publicado: (2024)
O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing
por: Cai, Yuchen, et al.
Publicado: (2024)
por: Cai, Yuchen, et al.
Publicado: (2024)
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
por: Jiang, Nick, et al.
Publicado: (2024)
por: Jiang, Nick, et al.
Publicado: (2024)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
por: Lu, Yifan, et al.
Publicado: (2025)
por: Lu, Yifan, et al.
Publicado: (2025)
Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models
por: Tang, Kai, et al.
Publicado: (2025)
por: Tang, Kai, et al.
Publicado: (2025)
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models
por: Sun, Yaqi, et al.
Publicado: (2025)
por: Sun, Yaqi, et al.
Publicado: (2025)
Mitigating Large Language Model Hallucination with Faithful Finetuning
por: Hu, Minda, et al.
Publicado: (2024)
por: Hu, Minda, et al.
Publicado: (2024)
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
por: Zhu, Xingyu, et al.
Publicado: (2026)
por: Zhu, Xingyu, et al.
Publicado: (2026)
Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models
por: Zhang, Chengsheng, et al.
Publicado: (2026)
por: Zhang, Chengsheng, et al.
Publicado: (2026)
Mitigating Multilingual Hallucination in Large Vision-Language Models
por: Qu, Xiaoye, et al.
Publicado: (2024)
por: Qu, Xiaoye, et al.
Publicado: (2024)
UniRef-Image-Edit: Towards Scalable and Consistent Multi-Reference Image Editing
por: Wei, Hongyang, et al.
Publicado: (2026)
por: Wei, Hongyang, et al.
Publicado: (2026)
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
por: Wang, Weihang, et al.
Publicado: (2025)
por: Wang, Weihang, et al.
Publicado: (2025)
Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
por: Li, Bin, et al.
Publicado: (2025)
por: Li, Bin, et al.
Publicado: (2025)
TBStar-Edit: From Image Editing Pattern Shifting to Consistency Enhancement
por: Fang, Hao, et al.
Publicado: (2025)
por: Fang, Hao, et al.
Publicado: (2025)
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
por: Zhou, Yiyang, et al.
Publicado: (2023)
por: Zhou, Yiyang, et al.
Publicado: (2023)
Image Tokens Matter: Mitigating Hallucination in Discrete Tokenizer-based Large Vision-Language Models via Latent Editing
por: Wang, Weixing, et al.
Publicado: (2025)
por: Wang, Weixing, et al.
Publicado: (2025)
StruEdit: Structured Outputs Enable the Fast and Accurate Knowledge Editing for Large Language Models
por: Bi, Baolong, et al.
Publicado: (2024)
por: Bi, Baolong, et al.
Publicado: (2024)
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
por: Dong, Xin, et al.
Publicado: (2025)
por: Dong, Xin, et al.
Publicado: (2025)
Exploring the Privacy Protection Capabilities of Chinese Large Language Models
por: Yang, Yuqi, et al.
Publicado: (2024)
por: Yang, Yuqi, et al.
Publicado: (2024)
ITDR: An Instruction Tuning Dataset for Enhancing Large Language Models in Recommendations
por: Liu, Zekun, et al.
Publicado: (2025)
por: Liu, Zekun, et al.
Publicado: (2025)
ConsistEdit: Highly Consistent and Precise Training-free Visual Editing
por: Yin, Zixin, et al.
Publicado: (2025)
por: Yin, Zixin, et al.
Publicado: (2025)
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
por: Fieback, Laura, et al.
Publicado: (2025)
por: Fieback, Laura, et al.
Publicado: (2025)
Adaptive Residual-Update Steering for Low-Overhead Hallucination Mitigation in Large Vision Language Models
por: Zou, Zhengtao, et al.
Publicado: (2025)
por: Zou, Zhengtao, et al.
Publicado: (2025)
Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models
por: He, Zhentao, et al.
Publicado: (2025)
por: He, Zhentao, et al.
Publicado: (2025)
Mitigating Entangled Steering in Large Vision-Language Models for Hallucination Reduction
por: Zhang, Yuanhong, et al.
Publicado: (2026)
por: Zhang, Yuanhong, et al.
Publicado: (2026)
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
por: Zhong, Weihong, et al.
Publicado: (2024)
por: Zhong, Weihong, et al.
Publicado: (2024)
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models
por: Zhang, Jinrui, et al.
Publicado: (2024)
por: Zhang, Jinrui, et al.
Publicado: (2024)
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
por: Wang, Xintong, et al.
Publicado: (2024)
por: Wang, Xintong, et al.
Publicado: (2024)
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
por: Chang, Yue, et al.
Publicado: (2024)
por: Chang, Yue, et al.
Publicado: (2024)
Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow
por: Zhao, Jianfei, et al.
Publicado: (2025)
por: Zhao, Jianfei, et al.
Publicado: (2025)
Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment
por: Wang, Haoyuan, et al.
Publicado: (2026)
por: Wang, Haoyuan, et al.
Publicado: (2026)
Debiased Prompt Tuning in Vision-Language Model without Annotations
por: Jiang, Chaoquan, et al.
Publicado: (2025)
por: Jiang, Chaoquan, et al.
Publicado: (2025)
Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention
por: An, Wenbin, et al.
Publicado: (2024)
por: An, Wenbin, et al.
Publicado: (2024)
Mitigating Filter Bubble from the Perspective of Community Detection: A Universal Framework
por: Tang, Ming, et al.
Publicado: (2025)
por: Tang, Ming, et al.
Publicado: (2025)
Learning to Edit: Aligning LLMs with Knowledge Editing
por: Jiang, Yuxin, et al.
Publicado: (2024)
por: Jiang, Yuxin, et al.
Publicado: (2024)
Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection
por: Yang, Le, et al.
Publicado: (2024)
por: Yang, Le, et al.
Publicado: (2024)
ReasonEdit: Editing Vision-Language Models using Human Reasoning
por: Qiu, Jiaxing, et al.
Publicado: (2026)
por: Qiu, Jiaxing, et al.
Publicado: (2026)
Ejemplares similares
-
VaLiD: Mitigating the Hallucination of Large Vision Language Models by Visual Layer Fusion Contrastive Decoding
por: Wang, Jiaqi, et al.
Publicado: (2024) -
AIGCs Confuse AI Too: Investigating and Explaining Synthetic Image-induced Hallucinations in Large Vision-Language Models
por: Gao, Yifei, et al.
Publicado: (2024) -
Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning
por: Hu, Rui, et al.
Publicado: (2024) -
ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models
por: Tu, Yahan, et al.
Publicado: (2024) -
O-Edit: Orthogonal Subspace Editing for Language Model Sequential Editing
por: Cai, Yuchen, et al.
Publicado: (2024)