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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 20 of 20 1 Towards Universality in Multilingual Text Rewriting ... Garcia, Xavier; Constant, Noah; Guo, Mandy. - : arXiv, 2021 BASE Show details 2 XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation ... Ruder, Sebastian; Constant, Noah; Botha, Jan. - : arXiv, 2021 BASE Show details 3 nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models? ... Kale, Mihir; Siddhant, Aditya; Constant, Noah. - : arXiv, 2021 BASE Show details 4 Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution ... Garcia, Xavier; Constant, Noah; Parikh, Ankur P.. - : arXiv, 2021 BASE Show details 5 The Power of Scale for Parameter-Efficient Prompt Tuning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Al-Rfou, Rami; Constant, Noah; Lester, Brian. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.243/ Abstract: In this work, we explore "prompt tuning", a simple yet effective mechanism for learning "soft prompts" to condition frozen language models to perform specific downstream tasks. Unlike the discrete text prompts used by GPT-3, soft prompts are learned through backpropagation and can be tuned to incorporate signal from any number of labeled examples. Our end-to-end learned approach outperforms GPT-3's "few-shot" learning by a large margin. More remarkably, through ablations on model size using T5, we show that prompt tuning becomes more competitive with scale: as models exceed billions of parameters, our method "closes the gap" and matches the strong performance of model tuning (where all model weights are tuned). This finding is especially relevant in that large models are costly to share and serve, and the ability to reuse one frozen model for multiple downstream tasks can ease this burden. Our method can be seen as a simplification ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://dx.doi.org/10.48448/hw3q-4598 https://underline.io/lecture/37409-the-power-of-scale-for-parameter-efficient-prompt-tuning BASE Hide details 6 TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Constant, Noah; Guo, Mandy. - : Underline Science Inc., 2021 BASE Show details 7 mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer ... NAACL 2021 2021; Al-Rfou, Rami; Barua, Aditya. - : Underline Science Inc., 2021 BASE Show details 8 Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution ... NAACL 2021 2021; Constant, Noah; Firat, Orhan. - : Underline Science Inc., 2021 BASE Show details 9 mT5: A massively multilingual pre-trained text-to-text transformer ... Xue, Linting; Constant, Noah; Roberts, Adam. - : arXiv, 2020 BASE Show details 10 Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension ... Shakeri, Siamak; Constant, Noah; Kale, Mihir Sanjay. - : arXiv, 2020 BASE Show details 11 LAReQA: Language-agnostic answer retrieval from a multilingual pool ... Roy, Uma; Constant, Noah; Al-Rfou, Rami. - : arXiv, 2020 BASE Show details 12 Multilingual Universal Sentence Encoder for Semantic Retrieval ... Yang, Yinfei; Cer, Daniel; Ahmad, Amin. - : arXiv, 2019 BASE Show details 13 Effective Parallel Corpus Mining using Bilingual Sentence Embeddings ... Guo, Mandy; Shen, Qinlan; Yang, Yinfei. - : arXiv, 2018 BASE Show details 14 The main sessionProceedings of the forty-seventh (47.) annual meeting of the Chicago Linguistic Society 1. Constant, Noah In: The main session (2014), S. 47-62 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 15 Contrastive Topic: Meanings and Realizations Constant, Noah In: Doctoral Dissertations (2014) BASE Show details 16 English rise-fall-rise: a study in the semantics and pragmatics of intonation Constant, Noah In: Linguistics and philosophy. - Dordrecht [u.a.] : Springer 35 (2012) 5, 407-442 OLC Linguistik Show details 17 Witnessable quantifiers license type-e meaning: Evidence from contrastive topic, equatives and supplements Constant, Noah In: Semantics and Linguistic Theory; Proceedings of SALT 22; 286-306 ; 2163-5951 (2012) BASE Show details 18 Mandarin 'even', `all' and the Trigger of Focus Movement Constant, Noah; Gu, Chloe C In: University of Pennsylvania Working Papers in Linguistics (2010) BASE Show details 19 The pragmatics of expressive content: evidence from large corpora Constant, Noah; Davis, Christopher; Potts, Christopher... In: SDV - Sprache und Datenverarbeitung. International journal for language data processing 33 (2009) 1-2, 7-23 IDS Bibliografie zur deutschen Grammatik Show details 20 The pragmatics of expressive content: evidence from large corpora Potts, Christopher; Schwarz, Florian; Davis, Christopher... In: Sprache und Datenverarbeitung. - Duisburg : Univ.-Verl. Rhein-Ruhr 33 (2009) 1-2, 7-23 BLLDB OLC Linguistik Show details

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