Multimodal Knowledge Editing

Latest papers

14 papers3 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

ROSE: Risk-Aware Orthogonal Subspace Navigation for Lifelong Knowledge Editing in Multimodal Large Language Models
Nov 6, 2026Lingyun Song, Ziyao Chen, Kang Pan +5Subspace-Based Continual Learning Knowledge Editing
School of Computer Science, Northwestern Polytechnical University, Xi’an · Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen · Independent Researcher +1
Reasoning-Aware Cross-Modal Association Unlearning in Multimodal Large Reasoning Models
Nov 4, 2026Xinghao Li, Chenchen Tan, Youyang Qu +5MLLM Unlearning Multimodal Knowledge Editing
Faculty of Information Technology, Monash University, Australia · Qilu University of Technology (Shandong Academy of Sciences), China · Shandong Computer Science Center (National Supercomputer Center in Jinan), China +3
Evaluating Cultural Knowledge Editing in Vision-Language Models
Oct 29, 2026Malvina Nikandrou, Georgios Pantazopoulos, Ioannis Konstas +1Sequential Knowledge Editing Vision-Language Models
University of Edinburgh · Heriot-Watt University
Diagnosing and Mitigating Evidence Misgrounding in Multimodal Knowledge Editing
Oct 21, 2026Zhiwu Wang, Yichen Wu, Jinqian Yang +4Multimodal Knowledge Editing Knowledge Editing
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, Shaanxi, China · Harvard Medical School, Boston, MA 02155, U.S. · School of Mathematics and Statistics, Xidian University, Xi’an, Shaanxi, China +2
Repairing Speech Access After Text Updates with Frozen Affine Fields
Oct 14, 2026Ming-Hao Hsu, Yuxiang Wang, Yingda Shen +1Multimodal Knowledge Editing Speech Language Models
School of Data Science, The Chinese University of Hong Kong, Shenzhen, China
Evaluating and Understanding Model Editing for Medical Vision Language Models
Jul 6, 2026Guli Zhu, Chenwei Wu, Liyue ShenKnowledge Editing Medical VLMs
EECS, University of Michigan, Ann Arbor, MI 48105, USA
Multimodal Knowledge Edit-Scoped Generalization for Online Recursive MLLM Editing
Jul 2, 2026Siyuan Li, Youyuan Zhang, Ruitong Liu +2Knowledge Editing Multimodal Large Language Models
Harbin Institute of Technology, Shenzhen, China · Peng Cheng Laboratory · Peking University +1
Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs
May 30, 2026Xin Gao, Cheng Yang, Chufan Shi +1Knowledge Editing Unified Multimodal Models
University of California San Diego · University of Southern California
Towards Localized and Disentangled Knowledge Editing for Multimodal Large Language Models
May 28, 2026Leijiang Gu, Zhen Zeng, Feng Li +2Knowledge Editing Multimodal Large Language Models
1Hefei University of Technology, Hefei, China
Beyond Binary Edits Robust Multimodal Knowledge Editing with Adversarial Subspace Alignment
May 22, 2026Haoyuan Wang, Xiaohao Liu, Jiajie Su +2Multimodal Robustness Adversarial Robustness
Zhejiang University · National University of Singapore · Jiangxi Normal University
Modality-Decoupled Online Recursive Editing
May 19, 2026Siyuan Li, Youyuan Zhang, Fangming Liu +1Continual Learning for LLMs Multimodal Large Language Models
Harbin Institute of Technology, Shenzhen, China. · Peng Cheng Laboratory, China. · Huazhong University of Science and Technology, China.
Uncovering Entity Identity Confusion in Multimodal Knowledge Editing
May 7, 2026Shu Wu, Xiaotian Ye, Xinyu Mou +3Multimodal Grounding Multimodal Large Language Models
New Laboratory of Pattern Recognition (NLPR) State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS) Institute of Automation, Chinese Academy of Sciences · Beijing University of Posts and Telecommunications · School of Artificial Intelligence, University of Chinese Academy of Sciences +3
Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs
Apr 20, 2026Tingchao Fu, Wenkai Wang, Fanxiao Li +6Knowledge Editing Multimodal Large Language Models
School of Information Science and Engineering, Yunnan University · School of Software, Yunnan University · 3National University of Singapore +1
MMKU-Bench: A Multimodal Update Benchmark for Diverse Visual Knowledge
Mar 16, 2026Baochen Fu, Yuntao Du, Cheng Chang +6Multimodal Knowledge Editing Multimodal Large Language Models
Shandong University, Jinan, China · Jinzhong Group, Jinan, China.

Nov 6, 2026J/K move · Enter open · S save

ROSE: Risk-Aware Orthogonal Subspace Navigation for Lifelong Knowledge Editing in Multimodal Large Language Models

Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han+4

School of Computer Science, Northwestern Polytechnical University, Xi’an · Shenzhen Research Institute of Northwestern Polytechnical University, Shenzhen · Independent Researcher+1

Subspace-Based Continual Learning Knowledge Editing Multimodal Knowledge Editing Catastrophic Forgetting Continual Learning for VLMs Incremental Learning

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Multimodal Large Language Models (MLLMs) require continuous factual updates to stay current, yet lifelong knowledge editing remains a daunting challenge. The primary obstacle is the severe Locality Erosion and Catastrophic Forgetting, where sequential edits inevitably interfere with pre-trained capabilities and prior updates. In this paper, we propose ROSE, a Risk-aware Orthogonal Subspace navigation framework for lifelong knowledge Editing. ROSE addresses forgetting by aiming to restrict parameter updates to the orthogonal complement of previously edited subspaces. Crucially, it introduces a risk-guided mechanism that utilizes a dynamically computed risk mask to safeguard specific factual parameter subspaces essential for model stability. During inference, ROSE employs a multi-granularity knowledge integration strategy, featuring prototype-anchored semantic gating and perturbation-driven subspace fusion to precisely activate edited knowledge for relevant queries while limiting interference on unrelated inputs. Comprehensive experiments on two prominent multimodal benchmarks show that ROSE is competitive with state-of-the-art approaches across five key metrics, while maintaining outstanding stability over

1,000

sequential updates. Our code is available at https://github.com/sunlitsong/ROSE.