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token pruning

81 papers

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Co-occurring keywords

model compression (3302) efficient computing (781) vision transformer (1106) vision language model (767) inference acceleration (244) multimodal large language model (966) model efficiency (206) vision-language model (2348) efficient inference (233) multimodal learning (4645)

Papers

PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models CVPR 2025
RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning ACL 2025
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models ACL 2025
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models CVPR 2025
ATP-LLaVA: Adaptive Token Pruning for Large Vision Language Models CVPR 2025
Language-Guided Temporal Token Pruning for Efficient VideoLLM Processing EMNLP 2025
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation WACV 2025
Exploring Token Pruning in Vision State Space Models NIPS 2024
MLP Can Be A Good Transformer Learner CVPR 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging WACV 2024
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers CVPR 2024
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models COLING 2024
Revisiting Token Pruning for Object Detection and Instance Segmentation WACV 2024
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation CVPR 2024
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models CVPR 2024
What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization ACL 2024
GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024
Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification EMNLP 2023
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning EMNLP 2023
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention IJCAI 2023
Dynamic Inference With Grounding Based Vision and Language Models CVPR 2023
TokenDrop + BucketSampler: Towards Efficient Padding-free Fine-tuning of Language Models EMNLP 2023
Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation ICCV 2023
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers CVPR 2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models ACL 2023