MoKus: Leveraging Cross-Modal Knowledge Transfer for Knowledge-Aware Concept Customization
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Chenyang, Li, Hongxiang, Li, Xiu, Chen, Long |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
by: Zhu, Chenyang, et al.
Published: (2024)
by: Zhu, Chenyang, et al.
Published: (2024)
Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data
by: Zhu, Jinjing, et al.
Published: (2024)
by: Zhu, Jinjing, et al.
Published: (2024)
Core Knowledge Deficits in Multi-Modal Language Models
by: Li, Yijiang, et al.
Published: (2024)
by: Li, Yijiang, et al.
Published: (2024)
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
by: Xu, Shicheng, et al.
Published: (2024)
by: Xu, Shicheng, et al.
Published: (2024)
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, et al.
Published: (2024)
by: Yang, Yuncheng, et al.
Published: (2024)
KARL: Knowledge-Aware Reasoning and Reinforcement Learning for Knowledge-Intensive Visual Grounding
by: Ma, Xinyu, et al.
Published: (2025)
by: Ma, Xinyu, et al.
Published: (2025)
QA-Dragon: Query-Aware Dynamic RAG System for Knowledge-Intensive Visual Question Answering
by: Jiang, Zhuohang, et al.
Published: (2025)
by: Jiang, Zhuohang, et al.
Published: (2025)
HAWAII: Hierarchical Visual Knowledge Transfer for Efficient Vision-Language Models
by: Wang, Yimu, et al.
Published: (2025)
by: Wang, Yimu, et al.
Published: (2025)
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Model
by: Feng, Qianhan, et al.
Published: (2024)
by: Feng, Qianhan, et al.
Published: (2024)
SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge
by: Wang, Andong, et al.
Published: (2024)
by: Wang, Andong, et al.
Published: (2024)
Knowledge Generation for Zero-shot Knowledge-based VQA
by: Cao, Rui, et al.
Published: (2024)
by: Cao, Rui, et al.
Published: (2024)
Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters
by: Xu, Zhiyu, et al.
Published: (2026)
by: Xu, Zhiyu, et al.
Published: (2026)
MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
by: Chen, Haonan, et al.
Published: (2025)
by: Chen, Haonan, et al.
Published: (2025)
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts
by: Zhu, Chenyang, et al.
Published: (2024)
by: Zhu, Chenyang, 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)
Distilling Cross-Modal Knowledge via Feature Disentanglement
by: Liu, Junhong, et al.
Published: (2025)
by: Liu, Junhong, et al.
Published: (2025)
Cross-Modal Adapter for Vision-Language Retrieval
by: Jiang, Haojun, et al.
Published: (2022)
by: Jiang, Haojun, et al.
Published: (2022)
Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts
by: Zhu, Zhihao, et al.
Published: (2026)
by: Zhu, Zhihao, et al.
Published: (2026)
Multimodal LLMs as Customized Reward Models for Text-to-Image Generation
by: Zhou, Shijie, et al.
Published: (2025)
by: Zhou, Shijie, et al.
Published: (2025)
Leveraging Customer Feedback for Multi-modal Insight Extraction
by: Mukku, Sandeep Sricharan, et al.
Published: (2024)
by: Mukku, Sandeep Sricharan, et al.
Published: (2024)
Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs
by: Li, Yunxin, et al.
Published: (2023)
by: Li, Yunxin, et al.
Published: (2023)
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
by: Dong, Junnan, et al.
Published: (2024)
by: Dong, Junnan, et al.
Published: (2024)
A Cross-Modal Rumor Detection Scheme via Contrastive Learning by Exploring Text and Image internal Correlations
by: Ma, Bin, et al.
Published: (2025)
by: Ma, Bin, et al.
Published: (2025)
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
by: Chen, Xiwen, et al.
Published: (2025)
by: Chen, Xiwen, et al.
Published: (2025)
TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing Prompts
by: Xie, Yuxuan, et al.
Published: (2024)
by: Xie, Yuxuan, et al.
Published: (2024)
MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing
by: Si, Nianwen, et al.
Published: (2024)
by: Si, Nianwen, et al.
Published: (2024)
Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
by: Jin, Zhuoran, et al.
Published: (2025)
by: Jin, Zhuoran, et al.
Published: (2025)
AnyMo: Geometry-Aware Setup-Agnostic Modeling of Human Motion in the Wild
by: Chen, Baiyu, et al.
Published: (2026)
by: Chen, Baiyu, et al.
Published: (2026)
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
by: Xiong, Conghao, et al.
Published: (2023)
by: Xiong, Conghao, et al.
Published: (2023)
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models
by: Zhu, Tinghui, et al.
Published: (2024)
by: Zhu, Tinghui, et al.
Published: (2024)
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration
by: Qin, Libo, et al.
Published: (2024)
by: Qin, Libo, et al.
Published: (2024)
Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Following the Clues: Experiments on Person Re-ID using Cross-Modal Intelligence
by: Aufschläger, Robert, et al.
Published: (2025)
by: Aufschläger, Robert, et al.
Published: (2025)
Caption First, VQA Second: Knowledge Density, Not Task Format, Drives Multimodal Scaling
by: Zou, Hongjian, et al.
Published: (2026)
by: Zou, Hongjian, et al.
Published: (2026)
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
by: Bajpai, Divya Jyoti, et al.
Published: (2024)
by: Bajpai, Divya Jyoti, et al.
Published: (2024)
Knowledge-Aware Neuron Interpretation for Scene Classification
by: Guan, Yong, et al.
Published: (2024)
by: Guan, Yong, et al.
Published: (2024)
Adaptive Explicit Knowledge Transfer for Knowledge Distillation
by: Park, Hyungkeun, et al.
Published: (2024)
by: Park, Hyungkeun, et al.
Published: (2024)
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
by: Lymperaiou, Maria, et al.
Published: (2023)
by: Lymperaiou, Maria, et al.
Published: (2023)
TempViz: On the Evaluation of Temporal Knowledge in Text-to-Image Models
by: Holtermann, Carolin, et al.
Published: (2026)
by: Holtermann, Carolin, et al.
Published: (2026)
On Pre-training of Multimodal Language Models Customized for Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2024)
by: Fan, Wan-Cyuan, et al.
Published: (2024)
Similar Items
-
InstantSwap: Fast Customized Concept Swapping across Sharp Shape Differences
by: Zhu, Chenyang, et al.
Published: (2024) -
Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data
by: Zhu, Jinjing, et al.
Published: (2024) -
Core Knowledge Deficits in Multi-Modal Language Models
by: Li, Yijiang, et al.
Published: (2024) -
Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
by: Xu, Shicheng, et al.
Published: (2024) -
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, et al.
Published: (2024)