Model Compression

Multilingual Iterative Model Pruning: What Matters? IJCNLP 2025 Multi-matrix Factorization Attention ACL 2025 Multimodal Promptable Token Merging for Diffusion Models AAAI 2025 M-Wanda: Improving One-Shot Pruning for Multilingual LLMs EMNLP 2025 Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025 NEKO at SemEval-2025 Task 4: A Gradient Ascent Based Machine Unlearning Strategy SemEval 2025 Neural Collapse Inspired Knowledge Distillation AAAI 2025 Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks AAAI 2025 NeuroAda: Activating Each Neuron’s Potential for Parameter-Efficient Fine-Tuning EMNLP 2025 NormAL LoRA: What is the perfect size? EMNLP 2025 Not All Adapters Matter: Selective Adapter Freezing for Memory-Efficient Fine-Tuning of Language Models NAACL 2025 Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning ICLR 2025 Not All Layers of LLMs Are Necessary During Inference IJCAI 2025 Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 Novel Parasitic Dual-Scale Modeling for Efficient and Accurate Multilingual Speech Translation Interspeech 2025 OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025 OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition ICLR 2025 OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models EMNLP 2025 Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants CVPR 2025 On-Device Diffusion Transformer Policy for Efficient Robot Manipulation ICCV 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 OneNRC@TSAR2025 Shared Task Small Models for Readability Controlled Text Simplification EMNLP 2025 One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments ACL 2025