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Model Compression

1503 directly classified papers

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Papers

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models ACL 2025
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data ICCV 2025
Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes. ICCV 2025
Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation ICCV 2025
RED-CT: A Systems Design Methodology for Using LLM-labeled Data to Train and Deploy Edge Linguistic Classifiers COLING 2025
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking COLING 2025
Lightweight Safety Guardrails Using Fine-tuned BERT Embeddings COLING 2025
Efficient Vocabulary Reduction for Small Language Models COLING 2025
DadmaTools V2: an Adapter-Based Natural Language Processing Toolkit for the Persian Language COLING 2025
AAIG at GenAI Detection Task 1: Exploring Syntactically-Aware, Resource-Efficient Small Autoregressive Decoders for AI Content Detection COLING 2025
Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation COLING 2025
VRCP: Vocabulary Replacement Continued Pretraining for Efficient Multilingual Language Models COLING 2025
Variance-Based Pruning for Accelerating and Compressing Trained Networks ICCV 2025
Outlier-Aware Post-Training Quantization for Image Super-Resolution ICCV 2025
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation NAACL 2025
LangCompress: Language-Aware Compression of Large Language Models IJCNLP 2025
General Compression Framework for Efficient Transformer Object Tracking ICCV 2025
Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 2025
Interpreting the Effects of Quantization on LLMs IJCNLP 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025
Aligning Sizes of Intermediate Layers by LoRA Adapter for Knowledge Distillation NAACL 2025
As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025
Verifiable Format Control for Large Language Model Generations NAACL 2025
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models NAACL 2025
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models NAACL 2025