Image de couverture de livre

Rethinking Post-Unlearning Behavior of Large Vision-Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kim, Minsung, Yang, Nakyeong, Jung, Kyomin
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence 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

MVMR: A New Framework for Evaluating Faithfulness of Video Moment Retrieval against Multiple Distractors
par: Yang, Nakyeong, et autres
Publié: (2023)

VLind-Bench: Measuring Language Priors in Large Vision-Language Models
par: Lee, Kang-il, et autres
Publié: (2024)

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
par: Min, Kyungmin, et autres
Publié: (2024)

Bias Is a Subspace, Not a Coordinate: A Geometric Rethinking of Post-hoc Debiasing in Vision-Language Models
par: Zhao, Dachuan, et autres
Publié: (2025)

Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning
par: Kim, Hyeonjin, et autres
Publié: (2026)

Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models
par: Kim, Jinyeong, et autres
Publié: (2025)

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
par: Zeng, Yu, et autres
Publié: (2026)

Post-pre-training for Modality Alignment in Vision-Language Foundation Models
par: Yamaguchi, Shin'ya, et autres
Publié: (2025)

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
par: Kwon, JuneHyoung, et autres
Publié: (2026)

SEM: Sparse Embedding Modulation for Post-Hoc Debiasing of Vision-Language Models
par: Guimard, Quentin, et autres
Publié: (2026)

Interactive Post-Training for Vision-Language-Action Models
par: Tan, Shuhan, et autres
Publié: (2025)

Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
par: Kim, Gahyeon, et autres
Publié: (2025)

AAPL: Adding Attributes to Prompt Learning for Vision-Language Models
par: Kim, Gahyeon, et autres
Publié: (2024)

UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
par: Al-Tahan, Haider, et autres
Publié: (2024)

Effectiveness Assessment of Recent Large Vision-Language Models
par: Jiang, Yao, et autres
Publié: (2024)

Parallel In-context Learning for Large Vision Language Models
par: Yamaguchi, Shin'ya, et autres
Publié: (2026)

Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving
par: Gao, Haoxiang, et autres
Publié: (2025)

To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
par: Tian, Bozhong, et autres
Publié: (2024)

Mimicking or Reasoning: Rethinking Multi-Modal In-Context Learning in Vision-Language Models
par: Huang, Chengyue, et autres
Publié: (2025)

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
par: Moon, Saemi, et autres
Publié: (2026)

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

Representing Online Handwriting for Recognition in Large Vision-Language Models
par: Fadeeva, Anastasiia, et autres
Publié: (2024)

Topological Alignment of Shared Vision-Language Embedding Space
par: You, Junwon, et autres
Publié: (2025)

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models
par: Li, Zhiqi, et autres
Publié: (2025)

Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger
par: Yang, Qi, et autres
Publié: (2025)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
par: Lin, Yuanze, et autres
Publié: (2024)

Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
par: Yang, Nakyeong, et autres
Publié: (2023)

THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models
par: Kaul, Prannay, et autres
Publié: (2024)

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
par: Yang, Nakyeong, et autres
Publié: (2025)

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
par: Schlarmann, Christian, et autres
Publié: (2024)

ReLearn: Unlearning via Learning for Large Language Models
par: Xu, Haoming, et autres
Publié: (2025)

Fine-Tuning a Large Vision-Language Model for Artwork's Scoring and Critique
par: Zhang, Zhehan, et autres
Publié: (2026)

CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models
par: Nguyen, Kiet A., et autres
Publié: (2024)

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data
par: Irvin, Jeremy Andrew, et autres
Publié: (2024)

Accelerating Vision Transformers with Adaptive Patch Sizes
par: Choudhury, Rohan, et autres
Publié: (2025)

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
par: Spartalis, Christoforos N., et autres
Publié: (2025)

Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization
par: Park, Jihwan, et autres
Publié: (2025)

Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models
par: Tang, Kai, et autres
Publié: (2025)

Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities
par: Datta, Shounak, et autres
Publié: (2025)

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models
par: Lee, Jihoon, et autres
Publié: (2025)