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model compression

3,562 papers

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MC

Co-occurring keywords · papers mentioning both

knowledge distillation (1,124) large language model (422) neural network (322) neural network optimization (297) efficient computing (297) convolutional neural network (240) transfer learning (234) neural network pruning (200) parameter-efficient fine-tuning (168) language model (158)

Papers

SuLoRA: Subspace Low-Rank Adaptation for Parameter-Efficient Fine-Tuning ACL 2025 SUTrack: Towards Simple and Unified Single Object Tracking AAAI 2025 SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression ICLR 2025 SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression NAACL 2025 Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs IJCNLP 2025 Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation AAAI 2025 SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation EMNLP 2025 SwiftPrune: Hessian-Free Weight Pruning for Large Language Models EMNLP 2025 SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models NAACL 2025 Systematic Outliers in Large Language Models ICLR 2025 TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models ICLR 2025 TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization ACL 2025 Targeted Distillation for Sentiment Analysis EMNLP 2025 Task Singular Vectors: Reducing Task Interference in Model Merging CVPR 2025 Task-Specific Zero-shot Quantization-Aware Training for Object Detection ICCV 2025 TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025 TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025 Teach Small Models to Reason by Curriculum Distillation EMNLP 2025 Temporal Action Detection Model Compression by Progressive Block Drop CVPR 2025 Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation ICLR 2025 Text Embedding Knows How to Quantize Text-Guided Diffusion Models ICCV 2025 The Green KNIGHT: Green Machine Translation with Knowledge-Distilled, Narrow, Inexpensive, Greedy, Hybrid Transformers EMNLP 2025 The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws ICLR 2025 The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models EMNLP 2025 Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues AAAI 2025