Uncovering Entity Identity Confusion in Multimodal Knowledge Editing
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Shu, Ye, Xiaotian, Mou, Xinyu, Liu, Dongsheng, Wang, Xiaohan, Zhang, Mengqi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization
by: Zhang, Yanghai, et al.
Published: (2024)
by: Zhang, Yanghai, et al.
Published: (2024)
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
by: Zhang, Junzhe, et al.
Published: (2024)
by: Zhang, Junzhe, et al.
Published: (2024)
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
by: Li, Jinyuan, et al.
Published: (2024)
by: Li, Jinyuan, et al.
Published: (2024)
VP-MEL: Visual Prompts Guided Multimodal Entity Linking
by: Mi, Hongze, et al.
Published: (2024)
by: Mi, Hongze, et al.
Published: (2024)
E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition
by: Zhang, Meng, et al.
Published: (2026)
by: Zhang, Meng, et al.
Published: (2026)
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
by: Huang, Han, et al.
Published: (2024)
by: Huang, Han, et al.
Published: (2024)
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment
by: Li, Yunxin, et al.
Published: (2024)
by: Li, Yunxin, et al.
Published: (2024)
EAMA : Entity-Aware Multimodal Alignment Based Approach for News Image Captioning
by: Zhang, Junzhe, et al.
Published: (2024)
by: Zhang, Junzhe, et al.
Published: (2024)
Visual Confused Deputy: Exploiting and Defending Perception Failures in Computer-Using Agents
by: Liu, Xunzhuo, et al.
Published: (2026)
by: Liu, Xunzhuo, et al.
Published: (2026)
Uncovering Overfitting in Large Language Model Editing
by: Zhang, Mengqi, et al.
Published: (2024)
by: Zhang, Mengqi, et al.
Published: (2024)
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit
by: Chen, Qizhou, et al.
Published: (2024)
by: Chen, Qizhou, et al.
Published: (2024)
Can Large Vision-Language Models Understand Multimodal Sarcasm?
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Vision Language Models are Confused Tourists
by: Irawan, Patrick Amadeus, et al.
Published: (2025)
by: Irawan, Patrick Amadeus, et al.
Published: (2025)
Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts
by: Chen, Qizhou, et al.
Published: (2024)
by: Chen, Qizhou, et al.
Published: (2024)
Uncovering Context Reliance in Unstructured Knowledge Editing
by: Zhou, Zisheng, et al.
Published: (2026)
by: Zhou, Zisheng, et al.
Published: (2026)
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
by: Wu, Yuhang, et al.
Published: (2024)
by: Wu, Yuhang, et al.
Published: (2024)
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals
by: Wu, Te-Lin, et al.
Published: (2021)
by: Wu, Te-Lin, et al.
Published: (2021)
On the Hidden Costs of Counterfactual Knowledge Training in LLM Unlearning
by: Ye, Xiaotian, et al.
Published: (2026)
by: Ye, Xiaotian, et al.
Published: (2026)
Grounding Language Models for Visual Entity Recognition
by: Xiao, Zilin, et al.
Published: (2024)
by: Xiao, Zilin, et al.
Published: (2024)
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
by: Zhang, Xiaoman, et al.
Published: (2024)
by: Zhang, Xiaoman, et al.
Published: (2024)
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
by: Wu, Jiulong, et al.
Published: (2025)
by: Wu, Jiulong, et al.
Published: (2025)
Seeing Through Deception: Uncovering Misleading Creator Intent in Multimodal News with Vision-Language Models
by: Wu, Jiaying, et al.
Published: (2025)
by: Wu, Jiaying, et al.
Published: (2025)
Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs
by: Liu, Xiaoyuan, et al.
Published: (2024)
by: Liu, Xiaoyuan, et al.
Published: (2024)
From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
by: Wang, Xiangfeng, et al.
Published: (2025)
by: Wang, Xiangfeng, et al.
Published: (2025)
CEIDM: A Controlled Entity and Interaction Diffusion Model for Enhanced Text-to-Image Generation
by: Yang, Mingyue, et al.
Published: (2025)
by: Yang, Mingyue, et al.
Published: (2025)
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
by: Wu, Junfei, et al.
Published: (2024)
by: Wu, Junfei, et al.
Published: (2024)
WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image
by: Liang, Yuci, et al.
Published: (2024)
by: Liang, Yuci, et al.
Published: (2024)
Reliable Multimodal Learning Via Multi-Level Adaptive DeConfusion
by: Zhang, Tong, et al.
Published: (2025)
by: Zhang, Tong, et al.
Published: (2025)
KBE-DME: Dynamic Multimodal Evaluation via Knowledge Enhanced Benchmark Evolution
by: Zhang, Junzhe, et al.
Published: (2025)
by: Zhang, Junzhe, et al.
Published: (2025)
DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking
by: Song, Shezheng, et al.
Published: (2024)
by: Song, Shezheng, et al.
Published: (2024)
EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
by: Xing, Shangyu, et al.
Published: (2024)
by: Xing, Shangyu, et al.
Published: (2024)
ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
by: Wang, Chenxi, et al.
Published: (2025)
by: Wang, Chenxi, et al.
Published: (2025)
Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs
by: Gao, Xin, et al.
Published: (2026)
by: Gao, Xin, et al.
Published: (2026)
Graph-Driven Multimodal Feature Learning Framework for Apparent Personality Assessment
by: Wang, Kangsheng, et al.
Published: (2025)
by: Wang, Kangsheng, et al.
Published: (2025)
MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis
by: Xu, Xingle, et al.
Published: (2025)
by: Xu, Xingle, et al.
Published: (2025)
CutPaste&Find: Efficient Multimodal Hallucination Detector with Visual-aid Knowledge Base
by: Nguyen, Cong-Duy, et al.
Published: (2025)
by: Nguyen, Cong-Duy, et al.
Published: (2025)
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
by: Shi, Chufan, et al.
Published: (2026)
by: Shi, Chufan, et al.
Published: (2026)
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
by: Zhang, Di, et al.
Published: (2024)
by: Zhang, Di, et al.
Published: (2024)
Advancing Grounded Multimodal Named Entity Recognition via LLM-Based Reformulation and Box-Based Segmentation
by: Li, Jinyuan, et al.
Published: (2024)
by: Li, Jinyuan, et al.
Published: (2024)
LLMs Meet Multimodal Generation and Editing: A Survey
by: He, Yingqing, et al.
Published: (2024)
by: He, Yingqing, et al.
Published: (2024)
Similar Items
-
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization
by: Zhang, Yanghai, et al.
Published: (2024) -
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
by: Zhang, Junzhe, et al.
Published: (2024) -
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
by: Li, Jinyuan, et al.
Published: (2024) -
VP-MEL: Visual Prompts Guided Multimodal Entity Linking
by: Mi, Hongze, et al.
Published: (2024) -
E2E-GMNER: End-to-End Generative Grounded Multimodal Named Entity Recognition
by: Zhang, Meng, et al.
Published: (2026)