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model compression

3,562 papers

MC

Papers

OptiPrune: Effective Pruning Approach for Every Target Sparsity COLING 2025 Orthogonal Finetuning Made Scalable EMNLP 2025 OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting ICLR 2025 Outlier-Safe Pre-Training for Robust 4-Bit Quantization of Large Language Models ACL 2025 PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models CVPR 2025 PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS ICLR 2025 Palu: KV-Cache Compression with Low-Rank Projection ICLR 2025 Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace COLING 2025 Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Partial Filter-Sharing: Improved Parameter-Sharing Method for Single Image Super-Resolution Networks WACV 2025 Partially Blinded Unlearning: Class Unlearning for Deep Networks from Bayesian Perspective AAAI 2025 PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution CVPR 2025 Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP WACV 2025 PAT: Pruning-Aware Tuning for Large Language Models AAAI 2025 Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation ICCV 2025 PHLoRA: data-free Post-hoc Low-Rank Adapter extraction from full-rank checkpoint IJCNLP 2025 PIP: Perturbation-based Iterative Pruning for Large Language Models EMNLP 2025 Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models ICML 2025 PLeaS - Merging Models with Permutations and Least Squares CVPR 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference AAAI 2025 Power doesn’t reside in size: A Low Parameter Hybrid Language Model (HLM) for Sentiment Analysis in Code-mixed data EMNLP 2025 Powerformer: Efficient and High-Accuracy Privacy-Preserving Language Model with Homomorphic Encryption ACL 2025 PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025 Presto! Distilling Steps and Layers for Accelerating Music Generation ICLR 2025