:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu, An, Tsai, Ting Yu, Zhang, Zhenfei, Lu, Weiheng, Ye, Felix X. -F., Chang, Ming-Ching
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.24680
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SMART: Shot-Aware Multimodal Video Moment Retrieval with Audio-Enhanced MLLM
by: Yu, An, et al.
Published: (2025)

ToDRE: Effective Visual Token Pruning via Token Diversity and Task Relevance
by: Li, Duo, et al.
Published: (2025)

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
by: Alvar, Saeed Ranjbar, et al.
Published: (2025)

CoReDiT: Spatial Coherence-Guided Token Pruning and Reconstruction for Efficient Diffusion Transformers
by: Li, Zhuojin, et al.
Published: (2026)

EvoPrune: Early-Stage Visual Token Pruning for Efficient MLLMs
by: Chen, Yuhao, et al.
Published: (2026)

MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer
by: Cao, Jianjian, et al.
Published: (2024)

Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs
by: Zhang, Qizhe, et al.
Published: (2025)

IDPruner: Harmonizing Importance and Diversity in Visual Token Pruning for MLLMs
by: Tan, Yifan, et al.
Published: (2026)

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
by: Yu, Tongzhou, et al.
Published: (2025)

Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
by: Fu, Yao, et al.
Published: (2025)

Prune Redundancy, Preserve Essence: Vision Token Compression in VLMs via Synergistic Importance-Diversity
by: Fang, Zhengyao, et al.
Published: (2026)

Block-based Symmetric Pruning and Fusion for Efficient Vision Transformers
by: Hsieh, Yi-Kuan, et al.
Published: (2025)

SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
by: Deng, Jinhong, et al.
Published: (2025)

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent
by: Li, Jiaao, et al.
Published: (2025)

PruneVid: Visual Token Pruning for Efficient Video Large Language Models
by: Huang, Xiaohu, et al.
Published: (2024)

TransPrune: Token Transition Pruning for Efficient Large Vision-Language Model
by: Li, Ao, et al.
Published: (2025)

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

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

RatSeizure: A Benchmark and Saliency-Context Transformer for Rat Seizure Localization
by: Tsai, Ting Yu, et al.
Published: (2026)

D2Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning
by: Zhang, Evelyn, et al.
Published: (2025)

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

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs
by: Chen, Hanting, et al.
Published: (2025)

Grounding-Aware Token Pruning: Recovering from Drastic Performance Drops in Visual Grounding Caused by Pruning
by: Chien, Tzu-Chun, et al.
Published: (2025)

Optimizing Korean-Centric LLMs via Token Pruning
by: Kim, Hoyeol, et al.
Published: (2026)

HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models
by: Zhu, Qihui, et al.
Published: (2026)

Efficient Token Pruning for LLaDA-V
by: Wan, Zhewen, et al.
Published: (2026)

CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning
by: Li, Yanshu, et al.
Published: (2025)

OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning
by: Li, Geng, et al.
Published: (2026)

LLaVA-MR: Large Language-and-Vision Assistant for Video Moment Retrieval
by: Lu, Weiheng, et al.
Published: (2024)

StreamingAssistant: Efficient Visual Token Pruning for Accelerating Online Video Understanding
by: Jin, Xinqi, et al.
Published: (2025)

A New Benchmark and Model for Challenging Image Manipulation Detection
by: Zhang, Zhenfei, et al.
Published: (2023)

Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
by: Ye, Weihao, et al.
Published: (2024)

SafePTR: Token-Level Jailbreak Defense in Multimodal LLMs via Prune-then-Restore Mechanism
by: Chen, Beitao, et al.
Published: (2025)

Mosaic: Composite Projection Pruning for Resource-efficient LLMs
by: Eccles, Bailey J., et al.
Published: (2025)

Sink-Token-Aware Pruning for Fine-Grained Video Understanding in Efficient Video LLMs
by: Kim, Kibum, et al.
Published: (2026)

TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models
by: Zhang, Hao, et al.
Published: (2025)

CROP: Contextual Region-Oriented Visual Token Pruning
by: Guo, Jiawei, et al.
Published: (2025)

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning
by: Hou, Bairu, et al.
Published: (2025)

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

Training Noise Token Pruning
by: Rao, Mingxing, et al.
Published: (2024)