Model Compression

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models NAACL 2025 MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection ACL 2025 Maximum Score Routing For Mixture-of-Experts ACL 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 MDP: Multidimensional Vision Model Pruning with Latency Constraint CVPR 2025 MEET: Towards Memory-Efficient Temporal Sparse Deep Neural Networks CVPR 2025 Memory-Efficient Backpropagation for Fine-Tuning LLMs on Resource-Constrained Mobile Devices EMNLP 2025 Memory-Efficient Generative Models via Product Quantization ICCV 2025 MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025 MEraser: An Effective Fingerprint Erasure Approach for Large Language Models ACL 2025 MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models ACL 2025 MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025 MiniKV: Pushing the Limits of 2-Bit KV Cache via Compression and System Co-Design for Efficient Long Context Inference ACL 2025 Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation CVPR 2025 Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning EMNLP 2025 Mitigating Selection Bias with Node Pruning and Auxiliary Options ACL 2025 MLKV: Multi-Layer Key-Value Heads for Memory Efficient Transformer Decoding NAACL 2025 MLWQ: Efficient Small Language Model Deployment via Multi-Level Weight Quantization EMNLP 2025 Mobile Video Diffusion ICCV 2025 MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025 MOBIUS: Big-to-Mobile Universal Instance Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning ICCV 2025 Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025 Model Unlearning via Sparse Autoencoder Subspace Guided Projections EMNLP 2025 MoLA: MoE LoRA with Layer-wise Expert Allocation NAACL 2025 MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts ACL 2025