Sundararajan, BarkaviSripada, SomayajuluReiter, EhudDuh, KevinGomez, HelenaBethard, Steven2025-08-122025-08-122024-06-15Sundararajan, B, Sripada, S & Reiter, E 2024, Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo. in K Duh, H Gomez & S Bethard (eds), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics : Human Language Technologies (Volume 1: Long Papers). vol. 1, Association for Computational Linguistics (ACL), pp. 7350-7376, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Mexico City, Mexico, 16/06/24. https://doi.org/10.18653/v1/2024.naacl-long.408conference979-8-89176-114-8ORCID: /0000-0002-5428-8383/work/165791463ORCID: /0000-0002-7548-9504/work/165793007https://hdl.handle.net/2164/25830We thank Craig Thomson and Adarsa Sivaprasad for their hard work in helping with the annotations in this paper. We thank the anonymous reviewers for their detailed feedback and suggestions which have significantly improved this work. We also thank the NLG (CLAN) reading group at the University of Aberdeen for their invaluable feedback.27320478engQA75 Electronic computers. Computer scienceQA75Conference item10.18653/v1/2024.naacl-long.408http://www.scopus.com/inward/record.url?scp=85200239189&partnerID=8YFLogxK1