Model Compression

Not All Parameters Matter: Masking Diffusion Models for Enhancing Generation Ability CVPR 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 OLMoE: Open Mixture-of-Experts Language Models ICLR 2025 OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting AAAI 2025 On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025 One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025 One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025 One-Shot Knowledge Transfer for Scalable Person Re-Identification ICCV 2025 Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation NAACL 2025 OuroMamba: A Data-Free Quantization Framework for Vision Mamba ICCV 2025 Outlier-Aware Post-Training Quantization for Image Super-Resolution ICCV 2025 P2 Law: Scaling Law for Post-Training After Model Pruning ACL 2025 Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction EMNLP 2025 PAT: Pruning-Aware Tuning for Large Language Models AAAI 2025 PEER Pressure: Model-to-Model Regularization for Single Source Domain Generalization CVPR 2025 Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation ICCV 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025 Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning CVPR 2025 Plug-and-Play Versatile Compressed Video Enhancement CVPR 2025 Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models ACL 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 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