Model Compression

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models ICLR 2025 Treasures in Discarded Weights for LLM Quantization AAAI 2025 TrimLLM: Progressive Layer Dropping for Domain-Specific LLMs ACL 2025 TRNAS: A Training-Free Robust Neural Architecture Search ICCV 2025 TrojanWave: Exploiting Prompt Learning for Stealthy Backdoor Attacks on Large Audio-Language Models EMNLP 2025 TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models ACL 2025 TwT: Thinking without Tokens by Habitual Reasoning Distillation with Multi-Teachers’ Guidance EMNLP 2025 Ultra-Low Bit Post-Training Quantization of Large Speech Models via K-Means Clustering and Mixed Precision Allocation Interspeech 2025 UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective EMNLP 2025 Unfolding A Few Structures for The Many: Memory-Efficient Compression of Conformer and Speech Foundation Models Interspeech 2025 UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation ICLR 2025 Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models AAAI 2025 Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models EMNLP 2025 Unifying Uniform and Binary-coding Quantization for Accurate Compression of Large Language Models ACL 2025 UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping CVPR 2025 Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate NAACL 2025 Unleashing the Power of Task-Specific Directions in Parameter Efficient Fine-tuning ICLR 2025 Unlocking the Potential of Lightweight Quantized Models for Deepfake Detection IJCAI 2025 UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases IJCNLP 2025 Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025 Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation EMNLP 2025 ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba ICCV 2025 VisionZip: Longer is Better but Not Necessary in Vision Language Models CVPR 2025 VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs EMNLP 2025 Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective AAAI 2025