Who Cited It

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

2019 · 2,335 citations · 2 from inside this corpus

Hao Tan, Mohit Bansal

Hao Tan, Mohit Bansal. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

LXMERT: Learning Cross-Modality Encoder Representations from Transformers (2019)LXMERT: Learning Cross-Modali…Adam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…Exploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…Neural Machine Translation by Jointly Learning to Align and Translate (2014)Neural Machine Translation by…SQuAD: 100,000+ Questions for Machine Comprehension of Text (2016)SQuAD: 100,000+ Questions for…Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr… (2016)Google's Neural Machine Trans…GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018)GLUE: A Multi-Task Benchmark …GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018)GLUE: A Multi-Task Benchmark …Cross-lingual Language Model Pretraining (2019)Cross-lingual Language Model …On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…
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.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Adam: A Method for Stochastic Optimization201484,698
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…201846,036
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
Neural Machine Translation by Jointly Learning to Align and Translate201414,615
SQuAD: 100,000+ Questions for Machine Comprehension of Text20166,435
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Tr…20165,668
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding20184,055
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding20181,861
Cross-lingual Language Model Pretraining20191,624

What cites it, inside the corpus

PaperYearCited
On the Opportunities and Risks of Foundation Models20212,265
Pre-trained models for natural language processing: A survey20201,521

Links

DOI · Open access copy · OpenAlex record

Topics

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

Is this record sound?

complete

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

  • supports2 author record(s) attached.
  • supports50 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

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sha256 86a6d6715ff540a0…