compression ratio

AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models CVPR 2026 BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution ICML 2025 Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity ACL 2025 FreeMesh: Boosting Mesh Generation with Coordinates Merging ICML 2025 Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries ICML 2025 SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs ICML 2025 Standardizing the Measurement of Text Diversity: A Tool and Comparative Analysis IJCNLP 2025 Capturing the denoising effect of PCA via compression ratio NeurIPS 2024 Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference ICML 2024 Practical Hybrid Gradient Compression for Federated Learning Systems IJCAI 2024 Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024 Pruning vs Quantization: Which is Better? NeurIPS 2023 An Information-Theoretic Justification for Model Pruning AISTATS 2022 Reference-free Summarization Evaluation via Semantic Correlation and Compression Ratio NAACL 2022 ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes CoRL 2022 A Probabilistic Approach to Neural Network Pruning ICML 2021 Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract) AAAI 2021 With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms EACL 2021 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 EASSE: Easier Automatic Sentence Simplification Evaluation EMNLP 2019 Stochastic Neighbor Compression ICML 2014