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

A Self-Distillation Recipe for Neural Machine Translation ACL 2025

Importance-Based Token Merging for Efficient Image and Video Generation ICCV 2025

Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025

TRNAS: A Training-Free Robust Neural Architecture Search ICCV 2025

Revisiting Pruning vs Quantization for Small Language Models EMNLP 2025

SwiftPrune: Hessian-Free Weight Pruning for Large Language Models EMNLP 2025

Findings of the IWSLT 2025 Evaluation Campaign ACL 2025

Efficient Traffic Prediction Through Spatio-Temporal Distillation AAAI 2025

StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models EMNLP 2025

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

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025

RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy AAAI 2025

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

Sample-aware Adaptive Structured Pruning for Large Language Models AAAI 2025

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

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025

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

Agentic-R1: Distilled Dual-Strategy Reasoning EMNLP 2025

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

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

SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression AAAI 2025

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

BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025

Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference AAAI 2025

Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025