model compression

3283 papers

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MC

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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

CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices AAAI 2026

Efficient Plug-and-Play Weight Refinement for Sparse Large Models AAAI 2026

Collaborative Enhancement of Large and Small Models for Question Answering via Dual Knowledge Transfer AAAI 2026

Language Model Distillation: A Temporal Difference Imitation Learning Perspective AAAI 2026

Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts AAAI 2026

Adaptive Compute Efficient Learning via Conceptual-Criticality (Student Abstract) AAAI 2026

Towards Efficient and Effective Interactive 3D Segmentation AAAI 2026

LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers AAAI 2026

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

Basic Reading Distillation ACL 2025

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

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

Temporal Action Detection Model Compression by Progressive Block Drop CVPR 2025

DART: Distilling Autoregressive Reasoning to Silent Thought EMNLP 2025

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

WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models CVPR 2025

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting CVPR 2025

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

Quantization without Tears CVPR 2025

Random Conditioning for Diffusion Model Compression with Distillation CVPR 2025

L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models ACL 2025

Pre-training Distillation for Large Language Models: A Design Space Exploration ACL 2025

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

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

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025