Who Cited It

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

2019 · 2,511 citations · 4 from inside this corpus

Myle Ott low, Sergey Edunov, Alexei Baevski low, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli

Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations). 2019.

fairseq: A Fast, Extensible Toolkit for Sequence Modeling (2019)fairseq: A Fast, Extensible T…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…Effective Approaches to Attention-based Neural Machine Translation (2015)Effective Approaches to Atten…ROUGE: A Package for Automatic Evaluation of Summaries (2004)ROUGE: A Package for Automati…[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)][No title in the source recor…Get To The Point: Summarization with Pointer-Generator Networks (2017)Get To The Point: Summarizati…Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond (2016)Abstractive Text Summarizatio…Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…Convolutional Sequence to Sequence Learning (2017)Teaching Machines to Read and Comprehend (2015)Teaching Machines to Read and…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit… (2019)HISTORIAE, History of Socio-C…Transformers: State-of-the-Art Natural Language Processing (2020)Transformers: State-of-the-Ar…Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met… (2026)Affordance-Compiled Intellige…A Survey on Deep Learning for Named Entity Recognition (2020)A Survey on Deep Learning for…
13 of 13 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
Effective Approaches to Attention-based Neural Machine Translation20158,617
ROUGE: A Package for Automatic Evaluation of Summaries20048,302
[No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]7,291
Get To The Point: Summarization with Pointer-Generator Networks20173,935
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond20162,233
Teaching Machines to Read and Comprehend20151,939
Convolutional Sequence to Sequence Learning20171,903
Teaching Machines to Read and Comprehend20151,519

What cites it, inside the corpus

PaperYearCited
HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…201917,489
Transformers: State-of-the-Art Natural Language Processing20208,295
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…20263,059
A Survey on Deep Learning for Named Entity Recognition20201,534

Links

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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complete

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

  • supports8 author record(s) attached.
  • supports66 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

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