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XNMT: The eXtensible Neural Machine Translation Toolkit.

, , , , , , , , , , , , and . AMTA (1), page 185-192. Association for Machine Translation in the Americas, (2018)

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Adaptive Methods for Nonconvex Optimization., , , , and . NeurIPS, page 9815-9825. (2018)End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering., , , , and . NeurIPS, page 25968-25981. (2021)Sports Video Classification from Multimodal Information Using Deep Neural Networks., , and . AAAI Fall Symposia, AAAI Press, (2013)XNMT: The eXtensible Neural Machine Translation Toolkit., , , , , , , , , and 3 other author(s). AMTA (1), page 185-192. Association for Machine Translation in the Americas, (2018)Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation., , , , , , , , , and 6 other author(s). CoRR, (2018)When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?, , , , and . NAACL-HLT (2), page 529-535. Association for Computational Linguistics, (2018)Investigating the Working of Text Classifiers., , and . COLING, page 2120-2131. Association for Computational Linguistics, (2018)Improving Passage Retrieval with Zero-Shot Question Generation., , , , , , and . EMNLP, page 3781-3797. Association for Computational Linguistics, (2022)Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation., , , , , , , , , and 5 other author(s). ACL (3), page 159-164. Association for Computational Linguistics, (2019)Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval., , , , , , , and . CoRR, (2024)