Abstract: Transformer-based large language models (LLMs) are increasingly being adopted in networking research to address domain-specific challenges. However, their quadratic time complexity and ...
Abstract: Existing time series prediction models struggle with long-sequence data due to limitations in capturing long-range dependencies and processing multichannel information simultaneously. To ...
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