Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data Dehai Min author Nan Hu author Rihui Jin author Nuo Lin author Jiaoyan Chen author Yongrui Chen author Yu Li author Guilin Qi author Yun Li author Nijun Li author Qianren Wang author 2024-06 text Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track) Yi Yang editor Aida Davani editor Avi Sil editor Anoop Kumar editor Association for Computational Linguistics Mexico City, Mexico conference publication min-etal-2024-exploring 10.18653/v1/2024.naacl-industry.41 https://aclanthology.org/2024.naacl-industry.41/ 2024-06 464 482