Image de couverture de livre

Cross-Modal Attention Guided Unlearning in Vision-Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bhaila, Karuna, Komanduri, Aneesh, Van, Minh-Hao, Wu, Xintao
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
par: Komanduri, Aneesh, et autres
Publié: (2025)

Leveraging Foundation Models for Causal Generative Modeling
par: Komanduri, Aneesh, et autres
Publié: (2026)

Soft Prompting for Unlearning in Large Language Models
par: Bhaila, Karuna, et autres
Publié: (2024)

Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language Models
par: Van, Minh-Hao, et autres
Publié: (2025)

Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
par: Verma, Prateek, et autres
Publié: (2024)

On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
par: Van, Minh-Hao, et autres
Publié: (2024)

Robust Influence-based Training Methods for Noisy Brain MRI
par: Van, Minh-Hao, et autres
Publié: (2024)

MMCLIP: Cross-modal Attention Masked Modelling for Medical Language-Image Pre-Training
par: Wu, Biao, et autres
Publié: (2024)

ACIT: Attention-Guided Cross-Modal Interaction Transformer for Pedestrian Crossing Intention Prediction
par: Li, Yuanzhe, et autres
Publié: (2025)

Cross-Modal Attention Analysis and Optimization in Vision-Language Models: A Study on Visual Reliability
par: Zhou, Lijie
Publié: (2026)

VLM-UQBench: A Benchmark for Modality-Specific and Cross-Modality Uncertainties in Vision Language Models
par: Wang, Chenyu, et autres
Publié: (2026)

Channel Attention-Guided Cross-Modal Knowledge Distillation for Referring Image Segmentation
par: Yang, Chen
Publié: (2026)

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
par: Huang, Qidong, et autres
Publié: (2024)

Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models
par: Zhang, Yikai, et autres
Publié: (2024)

Quantifying Cross-Modality Memorization in Vision-Language Models
par: Wen, Yuxin, et autres
Publié: (2025)

Object Hallucination-Free Reinforcement Unlearning for Vision-Language Models
par: Jia, Kaidi, et autres
Publié: (2026)

Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language Models
par: Jiang, Lei, et autres
Publié: (2025)

Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
par: Zhu, Tinghui, et autres
Publié: (2024)

Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrieval
par: Jang, Young Kyun, et autres
Publié: (2024)

Attention Guided Alignment in Efficient Vision-Language Models
par: Mahajan, Shweta, et autres
Publié: (2025)

ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models
par: Parikh, Dhruv, et autres
Publié: (2026)

LetheViT: Selective Machine Unlearning for Vision Transformers via Attention-Guided Contrastive Learning
par: Tong, Yujia, et autres
Publié: (2025)

Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models
par: Yan, Hanqi, et autres
Publié: (2025)

Majorization-Guided Test-Time Adaptation for Vision-Language Models under Modality-Specific Shift
par: Chen, Lixian, et autres
Publié: (2026)

Causality-based Cross-Modal Representation Learning for Vision-and-Language Navigation
par: Wang, Liuyi, et autres
Publié: (2024)

Firebolt-VL: Efficient Vision-Language Understanding with Cross-Modality Modulation
par: Trinh, Quoc-Huy, et autres
Publié: (2026)

How Does Differential Privacy Affect Social Bias in LLMs? A Systematic Evaluation
par: Tenorio, Eduardo, et autres
Publié: (2026)

Vision-Language Models Create Cross-Modal Task Representations
par: Luo, Grace, et autres
Publié: (2024)

Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
par: Ma, Yingzi, et autres
Publié: (2024)

GLIMPSE: Holistic Cross-Modal Explainability for Large Vision-Language Models
par: Shen, Guanxi
Publié: (2025)

Preserving Cross-Modal Stability for Visual Unlearning in Multimodal Scenarios
par: Li, Jinghan Xu Yuyang Zhang Qixuan Cai Jiancheng Chen Keqiu
Publié: (2025)

FLARE: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding
par: Liu, Zheng, et autres
Publié: (2025)

Hierarchical Cross-modal Prompt Learning for Vision-Language Models
par: Zheng, Hao, et autres
Publié: (2025)

From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology
par: Guo, Zhenhao, et autres
Publié: (2025)

Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models
par: Pham, Hieu Dinh Trung, et autres
Publié: (2025)

Modality-Agnostic fMRI Decoding of Vision and Language
par: Nikolaus, Mitja, et autres
Publié: (2024)

Cross-Modal Adapter for Vision-Language Retrieval
par: Jiang, Haojun, et autres
Publié: (2022)

PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision--Language Models
par: Hoang-Xuan, Nhat, et autres
Publié: (2025)

Vision Transformers with Hierarchical Attention
par: Liu, Yun, et autres
Publié: (2021)

Guiding Cross-Modal Representations with MLLM Priors via Preference Alignment
par: Zhao, Pengfei, et autres
Publié: (2025)