XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP ModelsDownload PDFOpen Website

Published: 01 Jan 2023, Last Modified: 09 Sept 2023ACL (demo) 2023Readers: Everyone
Abstract: Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations). 2023.
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