The paper ‘The Efficiency Spectrum of Large Language Models: An Algorithmic Survey’ provides a comprehensive review of algorithmic advancements aimed to enhance the efficiency of Large Language Models (LLMs). It…
Continue readingThis paper proposes a new method for handling the durations of musical events in computer applications. The researchers introduce a temporal unit linked to the symbols in musical scores, along…
Continue readingThe article discusses the importance and challenges of document-level Neural Machine Translation (DocNMT). It points out that while DocNMT is crucial for handling discourse phenomena, it suffers from computational inefficiency…
Continue readingThe article discusses recent advancements in Automatic Speech Recognition (ASR), particularly the increasing model sizes and their impact on computational efficiency. The authors propose a method to use the smallest…
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