Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Qizhe, Cheng, Aosong, Lu, Ming, Zhang, Renrui, Zhuo, Zhiyong, Cao, Jiajun, Guo, Shaobo, She, Qi, Zhang, Shanghang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
by: Zhang, Qizhe, et al.
Published: (2025)
by: Zhang, Qizhe, et al.
Published: (2025)
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
by: Cao, Jiajun, et al.
Published: (2025)
by: Cao, Jiajun, et al.
Published: (2025)
FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning
by: Cao, Jiajun, et al.
Published: (2025)
by: Cao, Jiajun, et al.
Published: (2025)
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
by: Zhang, Qizhe, et al.
Published: (2023)
by: Zhang, Qizhe, et al.
Published: (2023)
ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better
by: Zhang, Yuan, et al.
Published: (2025)
by: Zhang, Yuan, et al.
Published: (2025)
Gradient-based Parameter Selection for Efficient Fine-Tuning
by: Zhang, Zhi, et al.
Published: (2023)
by: Zhang, Zhi, et al.
Published: (2023)
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
by: Liu, Jiaming, et al.
Published: (2023)
by: Liu, Jiaming, et al.
Published: (2023)
Can World Models Benefit VLMs for World Dynamics?
by: Zhang, Kevin, et al.
Published: (2025)
by: Zhang, Kevin, et al.
Published: (2025)
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
by: Liu, Jiaming, et al.
Published: (2023)
by: Liu, Jiaming, et al.
Published: (2023)
ToDRE: Effective Visual Token Pruning via Token Diversity and Task Relevance
by: Li, Duo, et al.
Published: (2025)
by: Li, Duo, et al.
Published: (2025)
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2025)
by: An, Ruichuan, et al.
Published: (2025)
Multi-Cue Adaptive Visual Token Pruning for Large Vision-Language Models
by: Luan, Bozhi, et al.
Published: (2025)
by: Luan, Bozhi, et al.
Published: (2025)
MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs
by: Ma, Junpeng, et al.
Published: (2025)
by: Ma, Junpeng, et al.
Published: (2025)
PaceVGGT: Pre-Alternating-Attention Token Pruning for Visual Geometry Transformers
by: Li, Haotang, et al.
Published: (2026)
by: Li, Haotang, et al.
Published: (2026)
AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs
by: Zhang, Yuan, et al.
Published: (2025)
by: Zhang, Yuan, et al.
Published: (2025)
Enhancing Vision-Language Tracking by Effectively Converting Textual Cues into Visual Cues
by: Feng, X., et al.
Published: (2024)
by: Feng, X., et al.
Published: (2024)
Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
by: Ge, Yuyao, et al.
Published: (2025)
by: Ge, Yuyao, et al.
Published: (2025)
MC-LLaVA: Multi-Concept Personalized Vision-Language Model
by: An, Ruichuan, et al.
Published: (2024)
by: An, Ruichuan, et al.
Published: (2024)
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
by: Alvar, Saeed Ranjbar, et al.
Published: (2025)
by: Alvar, Saeed Ranjbar, et al.
Published: (2025)
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding
by: Zhang, Hongzhi, et al.
Published: (2025)
by: Zhang, Hongzhi, et al.
Published: (2025)
Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction
by: Yang, Senqiao, et al.
Published: (2023)
by: Yang, Senqiao, et al.
Published: (2023)
EvoPrune: Early-Stage Visual Token Pruning for Efficient MLLMs
by: Chen, Yuhao, et al.
Published: (2026)
by: Chen, Yuhao, et al.
Published: (2026)
TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction
by: Guo, Ziyao, et al.
Published: (2025)
by: Guo, Ziyao, et al.
Published: (2025)
CROP: Contextual Region-Oriented Visual Token Pruning
by: Guo, Jiawei, et al.
Published: (2025)
by: Guo, Jiawei, et al.
Published: (2025)
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
by: Guo, Hang, et al.
Published: (2025)
by: Guo, Hang, et al.
Published: (2025)
How Many Visual Tokens Do Multimodal Language Models Need? Scaling Visual Token Pruning with F^3A
by: Huang, YiJie, et al.
Published: (2026)
by: Huang, YiJie, et al.
Published: (2026)
A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models
by: Zeng, Quan-Sheng, et al.
Published: (2025)
by: Zeng, Quan-Sheng, et al.
Published: (2025)
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)
by: Wei, Xiaobao, et al.
Published: (2023)
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
by: Zheng, Anlin, et al.
Published: (2025)
by: Zheng, Anlin, et al.
Published: (2025)
Attention Debiasing for Token Pruning in Vision Language Models
by: Zhao, Kai, et al.
Published: (2025)
by: Zhao, Kai, et al.
Published: (2025)
MINT-CoT: Enabling Interleaved Visual Tokens in Mathematical Chain-of-Thought Reasoning
by: Chen, Xinyan, et al.
Published: (2025)
by: Chen, Xinyan, et al.
Published: (2025)
UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking
by: Wu, Hao, et al.
Published: (2026)
by: Wu, Hao, et al.
Published: (2026)
UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective
by: Xu, Furui, et al.
Published: (2025)
by: Xu, Furui, et al.
Published: (2025)
Fast-Slow Efficient Training for Multimodal Large Language Models via Visual Token Pruning
by: Zhang, Dingkun, et al.
Published: (2026)
by: Zhang, Dingkun, et al.
Published: (2026)
VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
by: Zhang, Jianshu, et al.
Published: (2025)
by: Zhang, Jianshu, et al.
Published: (2025)
ResPrune: Text-Conditioned Subspace Reconstruction for Visual Token Pruning in Large Vision-Language Models
by: Li, Xu, et al.
Published: (2026)
by: Li, Xu, et al.
Published: (2026)
HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models
by: Zhu, Qihui, et al.
Published: (2026)
by: Zhu, Qihui, et al.
Published: (2026)
TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm
by: Zhang, Bingqing, et al.
Published: (2024)
by: Zhang, Bingqing, et al.
Published: (2024)
Similar Items
-
Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
by: Zhang, Qizhe, et al.
Published: (2025) -
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders
by: Cao, Jiajun, et al.
Published: (2025) -
FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning
by: Cao, Jiajun, et al.
Published: (2025) -
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
by: Zhang, Qizhe, et al.
Published: (2023) -
ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better
by: Zhang, Yuan, et al.
Published: (2025)