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This article presents a curated list of ten data science papers that are expected to be influential in the coming year. These papers cover a wide range of topics, including machine learning, artificial intelligence, and data analysis, providing a valuable resource for researchers seeking to contribute to the field. It introduces Transformer-XL, AlphaFold, GPT-3, the original GPT model, and BERT, which are all groundbreaking papers that have significant implications for natural language understanding and generation.