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LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Annual Meeting of the Association for Computational LinguisticsThis paper focuses on task-agnostic prompt compression for better generalizability and efficiency. Considering the redundancy in natural language, existing approaches compress prompts by removing tokens or lexical units according to their information ...
Zhuoshi Pan +22 more
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High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data
IEEE Transactions on Big Data, 2023Scientific simulations on high-performance computing (HPC) systems can generate large amounts of floating-point data per run. To mitigate the data storage bottleneck and lower the data volume, it is common for floating-point compressors to be employed ...
Tong Liu +5 more
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Quantum data compression by principal component analysis
Quantum Information Processing, 2018Data compression can be achieved by reducing the dimensionality of high-dimensional but approximately low-rank datasets, which may in fact be described by the variation of a much smaller number of parameters.
Chao-Hua Yu +3 more
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An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound
IEEE International Conference on Cluster Computing, 2018Because of the ever-increasing execution scale of scientific applications, how to store the extremely large volume of data efficiently is becoming a serious issue.
Xin Liang +4 more
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SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
International Conference on Learning RepresentationsThe advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitates LLM compression methods for practical deployment.
Xin Wang +3 more
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A universal algorithm for sequential data compression
IEEE Transactions on Information Theory, 1977J. Ziv, A. Lempel
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