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Papers
V.I.P. : Iterative Online Preference Distillation for Efficient Video Diffusion Models
ICCV 2025
Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective
AAAI 2025
ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models
ICCV 2025
VL2Lite: Task-Specific Knowledge Distillation from Large Vision-Language Models to Lightweight Networks
CVPR 2025
VLDrive: Vision-Augmented Lightweight MLLMs for Efficient Language-grounded Autonomous Driving
ICCV 2025
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service
ACL 2025
VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models
CVPR 2025
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
WACV 2025
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
AAAI 2025
VRM: Knowledge Distillation via Virtual Relation Matching
ICCV 2025
Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning
EMNLP 2025
WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models
CVPR 2025
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models
EMNLP 2025
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
WACV 2025
What Makes a Good Dataset for Knowledge Distillation?
CVPR 2025
What to Distill? Fast Knowledge Distillation with Adaptive Sampling
ICCV 2025
When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs
EMNLP 2025
When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
COLING 2025
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
IJCAI 2025
WINS: Winograd Structured Pruning for Fast Winograd Convolution
ICCV 2025
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly
EMNLP 2025
W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models
ICLR 2025
XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression
EMNLP 2025
YOLO-RD: Introducing Relevant and Compact Explicit Knowledge to YOLO by Retriever-Dictionary
ICLR 2025
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
ICLR 2025