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What Do NLP Researchers Believe? Results of the NLP Community Metasurvey.

, , , , , , , , , , и . CoRR, (2022)

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Другие публикации лиц с тем же именем

Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks., , и . CoRR, (2018)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , и 1 other автор(ы). CoRR, (2022)An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization., , , , , , , , , и 1 other автор(ы). CoRR, (2020)Globally-Aware Multiple Instance Classifier for Breast Cancer Screening., , , , , , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 18-26. Springer, (2019)Pretraining Language Models with Human Preferences., , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 17506-17533. PMLR, (2023)What Do NLP Researchers Believe? Results of the NLP Community Metasurvey., , , , , , , , , и 1 other автор(ы). ACL (1), стр. 16334-16368. Association for Computational Linguistics, (2023)Investigating Efficiently Extending Transformers for Long Input Summarization., , и . CoRR, (2022)Unsupervised Sentence Compression using Denoising Auto-Encoders., и . CoNLL, стр. 413-422. Association for Computational Linguistics, (2018)QuALITY: Question Answering with Long Input Texts, Yes!, , , , , , , , , и 1 other автор(ы). NAACL-HLT, стр. 5336-5358. Association for Computational Linguistics, (2022)HyperTuning: Toward Adapting Large Language Models without Back-propagation., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 27854-27875. PMLR, (2023)