Numeral System
Numeral systems, the methods of representing numbers, are a crucial area of research impacting various fields, from artificial intelligence to data compression. Current research focuses on how different numeral systems (e.g., base-10 vs. higher bases) affect the performance of large language models in mathematical reasoning and the development of efficient algorithms for representing and processing numerical data in deep neural networks, often employing reinforcement learning or graph neural networks. These investigations are significant because efficient numerical representations are essential for improving the accuracy and efficiency of AI systems and optimizing data storage and processing in diverse applications.
Papers
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