Who Cited It

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer

2021 · 1,627 citations · 1 from inside this corpus

Linting Xue low, Noah Constant low, Adam P. Roberts, Mihir Kale low, Rami Al‐Rfou, Aditya Siddhant low, Aditya Barua low, Colin Raffel

Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, Colin Raffel. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer (2021)mT5: A Massively Multilingual…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit… (2019)HISTORIAE, History of Socio-C…SQuAD: 100,000+ Questions for Machine Comprehension of Text (2016)SQuAD: 100,000+ Questions for…Cross-lingual Language Model Pretraining (2019)Cross-lingual Language Model …On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…
6 of 6 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…201917,489
SQuAD: 100,000+ Questions for Machine Comprehension of Text20166,435
Cross-lingual Language Model Pretraining20191,624

What cites it, inside the corpus

PaperYearCited
On the Opportunities and Risks of Foundation Models20212,265

Links

DOI · Open access copy · OpenAlex record

Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Computational and Text Analysis MethodsSocial Sciences

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports8 author record(s) attached.
  • supports59 reference(s) recorded.
  • supportsThe DOI's year agrees with the publication year.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…