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Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation.

, , and . EMNLP (1), page 1754-1765. Association for Computational Linguistics, (2021)

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Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). Trans. Mach. Learn. Res., (2023)Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation., , and . EMNLP (1), page 1754-1765. Association for Computational Linguistics, (2021)Unsupervised Product Entity Resolution using Graph Representation Learning., and . eCOM@SIGIR, volume 2410 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)ParsiNLU: A Suite of Language Understanding Challenges for Persian., , , , , , , , , and 15 other author(s). Trans. Assoc. Comput. Linguistics, (2021)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models., , , , , , , , , and 440 other author(s). CoRR, (2022)Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data., , , and . ACL (Findings), page 7637-7650. Association for Computational Linguistics, (2023)ParsiNLU: A Suite of Language Understanding Challenges for Persian., , , , , , , , , and 15 other author(s). CoRR, (2020)Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning., , and . ACL (Findings), page 11602-11612. Association for Computational Linguistics, (2023)Generating Gender Alternatives in Machine Translation., , , , , and . CoRR, (2024)