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Model Compression

1674 directly classified papers

Papers per year

Papers

Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration CVPR 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025
GAP: a Global Adaptive Pruning Method for Large Language Models EMNLP 2025
Less is More: Empowering GUI Agent with Context-Aware Simplification ICCV 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025
Inference-Time Diffusion Model Distillation ICCV 2025
Lightweight and Fast Real-time Image Enhancement via Decomposition of the Spatial-aware Lookup Tables ICCV 2025
Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration ICCV 2025
TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration ICCV 2025
Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation ICCV 2025
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers ICCV 2025
A Good Teacher Adapts Their Knowledge for Distillation ICCV 2025
Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models ICCV 2025
Accelerating Diffusion Transformer via Gradient-Optimized Cache ICCV 2025
WINS: Winograd Structured Pruning for Fast Winograd Convolution ICCV 2025
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices CVPR 2025
Efficient On-Device Text Simplification for Firefox with Synthetic Data Fine-Tuning EMNLP 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025
SwiftPrune: Hessian-Free Weight Pruning for Large Language Models EMNLP 2025
Fine-tuning LLMs with Cross-Attention-based Weight Decay for Bias Mitigation EMNLP 2025
Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation EMNLP 2025
FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models EMNLP 2025
Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation EMNLP 2025
Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER EMNLP 2025