model compression

3283 papers

Explore in graph

Also known as

MC

Co-occurring keywords

knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

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

MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025

GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression EMNLP 2025

PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025

Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster EMNLP 2025

Power doesn’t reside in size: A Low Parameter Hybrid Language Model (HLM) for Sentiment Analysis in Code-mixed data EMNLP 2025

XQuant: Achieving Ultra-Low Bit KV Cache Quantization with Cross-Layer Compression EMNLP 2025

Extracting General-use Transformers for Low-resource Languages via Knowledge Distillation COLING 2025

Agentic-R1: Distilled Dual-Strategy Reasoning EMNLP 2025

Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions EMNLP 2025

HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging EMNLP 2025

One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models CVPR 2025

HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025

DART: Distilling Autoregressive Reasoning to Silent Thought EMNLP 2025

EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments EMNLP 2025

Temporal Action Detection Model Compression by Progressive Block Drop CVPR 2025

Random Conditioning for Diffusion Model Compression with Distillation CVPR 2025

Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025

ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025

ICP: Immediate Compensation Pruning for Mid-to-high Sparsity CVPR 2025

Text Embedding Knows How to Quantize Text-Guided Diffusion Models ICCV 2025

MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025

Accurate Sublayer Pruning for Large Language Models by Exploiting Latency and Tunability Information IJCAI 2025