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How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers.

, , , , , , and . EMNLP (Findings), page 1403-1416. Association for Computational Linguistics, (2022)

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Selective Annotation Makes Language Models Better Few-Shot Learners., , , , , , , , , and 1 other author(s). CoRR, (2022)Robust Multilingual Part-of-Speech Tagging via Adversarial Training., , and . NAACL-HLT, page 976-986. Association for Computational Linguistics, (2018)XOR QA: Cross-lingual Open-Retrieval Question Answering., , , , , and . NAACL-HLT, page 547-564. Association for Computational Linguistics, (2021)Selective Annotation Makes Language Models Better Few-Shot Learners., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2023)Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models., , , , , , and . EMNLP, page 9904-9923. Association for Computational Linguistics, (2023)MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages., , , , , , , , and . CoRR, (2022)TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering., , , , , , and . ICCV, page 20349-20360. IEEE, (2023)Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand., , , , , , , and . NAACL-HLT, page 3540-3557. Association for Computational Linguistics, (2022)NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics., , , , , , , , , and 2 other author(s). NAACL-HLT, page 780-799. Association for Computational Linguistics, (2022)ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks., , , , , , and . AAAI, page 7386-7393. AAAI Press, (2019)