Hiroshi Iida, Dung Thai, Varun Manjunatha, and Mohit Iyyer. 2021. TABBIE: Pretrained Representations of Tabular Data. arXiv:2105.02584 [cs.CL]
Zhengbao Jiang, Yi Mao, Pengcheng He, Graham Neubig, and Weizhu Chen. 2022. OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics, Seattle, United States, 932-942. https://doi.org/10.18653/v1/2022.naacl-main.68
Tena Ipsilantis Katsaounis. 2003. Methods of Multivariate Statistics. Technometrics 45, 1 (2003), 100-101. https://doi.org/10.1198/tech.2003.s15
George Katsogiannis-Meimarakis and Georgia Koutrika. 2021. A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems. In Proceedings of the 2021 International Conference on Management of Data. 2846-2851.
Bogdan Kostic, Julian Risch, and Timo Moller. 2021. Multi-modal Retrieval of Tables and Texts Using Tri-encoder Models. In Proceedings of the 3rd Workshop on Machine Reading for Question Answering. Association for Computational Linguistics, Punta Cana, Dominican Republic, 82-91. https://aclanthology.org/2021.mrqa-1.8
Haoyang Li, Jing Zhang, Cuiping Li, and Hong Chen. 2023. RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL. In AAAI.
Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, and Jian-guang Lou. 2021. TAPEX: Table pre-training via learning a neural SQL executor. arXiv preprint arXiv:2107.07653 (2021).
Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeno, Paolo Papotti, Shaden Shaar, and Giovanni Da San Martino. 2021. Automated Fact-Checking for Assisting Human Fact-Checkers. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21, Zhi-Hua Zhou (Ed.). International Joint Conferences on Artificial Intelligence Organization, 4551-4558. https://doi.org/10.24963/ijcai.2021/619 Survey Track.
OpenAI. 2023. ChatGPT 3.5. https://openai.com/blog/chatgpt
OpenAI. 2023. GPT-4 Technical Report. arXiv:2303.08774 [cs.CL]
Feifei Pan, Mustafa Canim, Michael Glass, Alfio Gliozzo, and Peter Fox. 2021. CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations. Association for Computational Linguistics, Online, 202-209. https://doi.org/10.18653/v1/2021.acl-demo.24
Panupong Pasupat and Percy Liang. 2015. Compositional Semantic Parsing on Semi-Structured Tables. In ACL. ACL, 1470-1480. https://doi.org/10.3115/v1/p15-1142
Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, and Julien Launay. 2023. The Refined-Web dataset for Falcon LLM: outperforming curated corpora with web data, and web data only. arXiv preprint arXiv:2306.01116 (2023).
Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin, and Sameer Singh. 2020. Beyond Accuracy: Behavioral Testing of NLP Models with CheckList. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Online, 4902-4912. https://doi.org/10.18653/v1/2020.acl-main.442
Mohammed Saeed, Nicola De Cao, and Paolo Papotti. 2024. Querying Large Language Models with SQL. In EDBT. https://openproceedings.org/2024/conf/edbt/paper-61.pdf
Johannes Schneider, Stefan Seidel, Marcus Basalla, and Jan vom Brocke. 2023. Reuse, Reduce, Support: Design Principles for Green Data Mining. *Bus. Inf. Syst. Eng.* 65, 1 (2023), 65-83. https://doi.org/10.1007/s12599-022-00780-w