Cover Image

MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Jianjian, Ye, Peng, Li, Shengze, Yu, Chong, Tang, Yansong, Lu, Jiwen, Chen, Tao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
by: Ye, Hancheng, et al.
Published: (2024)

ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models
by: Ye, Xubing, et al.
Published: (2024)

Local Information Matters: Inference Acceleration For Grounded Conversation Generation Models Through Adaptive Local-Aware Token Pruning
by: Bai, Bizhe, et al.
Published: (2025)

TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models
by: Tan, Xudong, et al.
Published: (2025)

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
by: Li, Shengze, et al.
Published: (2024)

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation
by: Ma, Shilin, et al.
Published: (2026)

Narrative Action Evaluation with Prompt-Guided Multimodal Interaction
by: Zhang, Shiyi, et al.
Published: (2024)

HEART-VIT: Hessian-Guided Efficient Dynamic Attention and Token Pruning in Vision Transformer
by: Uddin, Mohammad Helal, et al.
Published: (2025)

RedVTP: Training-Free Acceleration of Diffusion Vision-Language Models Inference via Masked Token-Guided Visual Token Pruning
by: Xu, Jingqi, et al.
Published: (2025)

Q-VLM: Post-training Quantization for Large Vision-Language Models
by: Wang, Changyuan, et al.
Published: (2024)

CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
by: Shi, Dachuan, et al.
Published: (2023)

GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting
by: Dong, Jiajun, et al.
Published: (2025)

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models
by: Zeng, Quan-Sheng, et al.
Published: (2025)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
by: Zeng, Fanhu, et al.
Published: (2025)

S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning
by: Lin, Weihao, et al.
Published: (2024)

HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models
by: Guo, Yansong, et al.
Published: (2026)

ReDiPrune: Relevance-Diversity Pre-Projection Token Pruning for Efficient Multimodal LLMs
by: Yu, An, et al.
Published: (2026)

EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models
by: Wang, Yahong, et al.
Published: (2026)

VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
by: Chen, Hanning, et al.
Published: (2024)

$Δ$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2024)

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration
by: Endo, Mark, et al.
Published: (2024)

Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model
by: Wu, Pingyu, et al.
Published: (2025)

Attention Debiasing for Token Pruning in Vision Language Models
by: Zhao, Kai, et al.
Published: (2025)

AdaptInfer: Adaptive Token Pruning for Vision-Language Model Inference with Dynamical Text Guidance
by: Zhang, Weichen, et al.
Published: (2025)

PPT: Token Pruning and Pooling for Efficient Vision Transformers
by: Wu, Xinjian, et al.
Published: (2023)

Language-Guided Token Compression with Reinforcement Learning in Large Vision-Language Models
by: Cao, Sihan, et al.
Published: (2026)

VLA-IAP: Training-Free Visual Token Pruning via Interaction Alignment for Vision-Language-Action Models
by: Cheng, Jintao, et al.
Published: (2026)

Balanced Token Pruning: Accelerating Vision Language Models Beyond Local Optimization
by: Li, Kaiyuan, et al.
Published: (2025)

ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation
by: Lu, Guanxing, et al.
Published: (2024)

Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction
by: Zhao, Shiyu, et al.
Published: (2024)

Reinforcement Learning-based Token Pruning in Vision Transformers: A Markov Game Approach
by: Lu, Chenglong, et al.
Published: (2025)

QAPruner: Quantization-Aware Vision Token Pruning for Multimodal Large Language Models
by: Wang, Xinhao, et al.
Published: (2026)

OptiPrune: Boosting Prompt-Image Consistency with Attention-Guided Noise and Dynamic Token Selection
by: Lu, Ziji
Published: (2025)

EfficientLLaVA:Generalizable Auto-Pruning for Large Vision-language Models
by: Liang, Yinan, et al.
Published: (2025)

Vision SmolMamba: Spike-Guided Token Pruning for Energy-Efficient Spiking State-Space Vision Models
by: Bai, Dewei, et al.
Published: (2026)

HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models
by: Liu, Jizhihui, et al.
Published: (2025)

CLAP: Contrastive Latent Action Pretraining for Learning Vision-Language-Action Models from Human Videos
by: Zhang, Chubin, et al.
Published: (2026)

Pyramid Token Pruning for High-Resolution Large Vision-Language Models via Region, Token, and Instruction-Guided Importance
by: Liang, Yuxuan, et al.
Published: (2025)

CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
by: Wang, Qinsi, et al.
Published: (2025)

IVC-Prune: Revealing the Implicit Visual Coordinates in LVLMs for Vision Token Pruning
by: Sun, Zhichao, et al.
Published: (2026)