Random autoregressive models: A structured overview
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DOI: 10.1080/07474938.2021.1899504
Abstract: Abstract Models characterized by autoregressive structure and random coefficients are powerful tools for the analysis of high-frequency, high-dimensional and volatile time series. The available literature on such models is broad, but also sector-specific, overlapping, and… read more here.
Keywords: structured overview; autoregressive models; models structured; random autoregressive ... See more keywords
Large Language Models: A Structured Taxonomy and Review of Challenges, Limitations, Solutions, and Future Directions
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DOI: 10.3390/app15148103
Abstract: Large language models (LLMs), as one of the most advanced achievements in the field of natural language processing (NLP), have made significant progress in areas such as natural language understanding and generation. However, attempts to… read more here.
Keywords: large language; review; models structured; language ... See more keywords