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Time series forecasting is essential for decision making across industries such as retail, energy, finance, and health care. However, developing accurate machine-learning-based forecasting models has traditionally...
Pretrained language models (PLMs) like BERT, RoBERTa, and DeBERTa, when fine-tuned on task-specific data, have demonstrated exceptional performance across a diverse array of natural-language tasks, including...
Between the main conference and the recently inaugurated ACL Proceedings, Amazon researchers have more than 65 papers at this year’s meeting of the Association for Computational...