Model Compression

DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025 Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025 Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models ACL 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 Dense2MoE: Restructuring Diffusion Transformer to MoE for Efficient Text-to-Image Generation ICCV 2025 DisLoRA: Task-specific Low-Rank Adaptation via Orthogonal Basis from Singular Value Decomposition EMNLP 2025 DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models ACL 2025 DiTAS: Quantizing Diffusion Transformers via Enhanced Activation Smoothing WACV 2025 DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers ICCV 2025 DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture CVPR 2025 DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization ICCV 2025 Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025 Does quantization affect models’ performance on long-context tasks? EMNLP 2025 DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning ACL 2025 Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings EMNLP 2025 DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings EMNLP 2025 DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation ACL 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs EMNLP 2025 DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models CVPR 2025 Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification AAAI 2025 Dynamic Operator Optimization for Efficient Multi-Tenant LoRA Model Serving AAAI 2025 Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM ICCV 2025