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Leverage the power of large language models to process diverse tables and perform various tabular tasks based on natural language instructions.
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![]() MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data Dimitrios Sinodinos Jack Yi Wei Narges Armanfard | |||
![]() Generalization Can Emerge in Tabular Foundation Models From a Single Table Junwei Ma Nour Shaheen Alex Labach Amine Mhedhbi Frank Hutter Anthony L. Caterini Valentin Thomas | |||
![]() TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular DataConference on Empirical Methods in Natural Language Processing (EMNLP), 2025 | |||
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