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Model Compression

1674 directly classified papers

Papers per year

Papers

AAIG at GenAI Detection Task 1: Exploring Syntactically-Aware, Resource-Efficient Small Autoregressive Decoders for AI Content Detection COLING 2025
MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method EMNLP 2025
TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration ICCV 2025
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models ICCV 2025
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025
OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models ICCV 2025
LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables ICCV 2025
Can We Achieve Efficient Diffusion Without Self-Attention? Distilling Self-Attention into Convolutions ICCV 2025
FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025
The Impact of Inference Acceleration on Bias of LLMs NAACL 2025
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding NAACL 2025
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models NAACL 2025
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models NAACL 2025
MoLA: MoE LoRA with Layer-wise Expert Allocation NAACL 2025
Avoiding Copyright Infringement via Large Language Model Unlearning NAACL 2025
MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding NAACL 2025
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model NAACL 2025
As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models NAACL 2025
Aligning Sizes of Intermediate Layers by LoRA Adapter for Knowledge Distillation NAACL 2025
Encoder-Aware Sequence-Level Knowledge Distillation for Low-Resource Neural Machine Translation NAACL 2025
Large Language Models Are Overparameterized Text Encoders NAACL 2025
Vocabulary-level Memory Efficiency for Language Model Fine-tuning NAACL 2025
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025