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Model Compression

1928 directly classified papers

Papers per year

Papers

Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification EMNLP 2025

Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding ACL 2025

RESF: Regularized-Entropy-Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models EMNLP 2025

PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models ACL 2025

QSpec: Speculative Decoding with Complementary Quantization Schemes EMNLP 2025

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models ACL 2025

Grammar Pruning: Enabling Low-Latency Zero-Shot Task-Oriented Language Models for Edge AI EMNLP 2025

P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025

QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models EMNLP 2025

Bitnet.cpp: Efficient Edge Inference for Ternary LLMs ACL 2025

LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models ACL 2025

Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation EMNLP 2025

DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025

From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025

MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts ACL 2025

1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models EMNLP 2025

Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models ACL 2025

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting AAAI 2025

MFL-Owner: Ownership Protection for Multi-modal Federated Learning via Orthogonal Transform Watermark AAAI 2025

Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025

Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study AAAI 2025

Efficient Neural Network Encoding for 3D Color Lookup Tables AAAI 2025

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs AAAI 2025

OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025