Noah Constant
Impact in
- Artificial Intelligence top 0.2%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
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- Topic Modeling 17
- Natural Language Processing Techniques 9
- Domain Adaptation and Few-Shot Learning 2
- Authorship Attribution and Profiling 1
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- Syntax, Semantics, Linguistic Variation 5
- Language, Discourse, Communication Strategies 1
- Co-authors
- Rami Al‐Rfou (8 shared papers)Daniel M. Cer (7 shared papers)Aditya Barua (4 shared papers)Linting Xue (4 shared papers)Mihir Kale (4 shared papers)Colin Raffel (2 shared papers)Yinfei Yang (6 shared papers)Aditya Siddhant (3 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Linguistics and Philosophy (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (2 papers)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Annual Meeting of the Association for Computational Linguistics (ACL) (2 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Noah Constant
27 papers receiving 5.4k citations
Noah Constant's Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 4k
- Computer Vision and Pattern Recognition 777
- Health Informatics 63
- Information Systems 533
- General Social Sciences 39
Countries citing papers authored by Noah Constant
This map shows the geographic impact of Noah Constant's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Noah Constant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah Constant more than expected).
Fields of papers citing papers by Noah Constant
This network shows the impact of papers produced by Noah Constant. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Noah Constant. The network helps show where Noah Constant may publish in the future.
Co-authors
The 25 scholars most cited alongside Noah Constant, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Power of Scale for Parameter-Efficient Prompt Tuning Hit paper breakdown → | 2021 | 1986 |
| 2 | mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer Hit paper breakdown → | 2021 | 1105 |
| 3 | Universal Sentence Encoder for English Hit paper breakdown → | 2018 | 910 |
| 4 | 2020 | 287 | |
| 5 | Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models Hit paper breakdown → | 2022 | 221 |
| 6 | 2019 | 206 | |
| 7 | ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models Hit paper breakdown → | 2022 | 194 |
| 8 | 2022 | 136 | |
| 9 | 2018 | 100 | |
| 10 | 2012 | 86 | |
| 11 | 2021 | 82 | |
| 12 | 2018 | 75 | |
| 13 | 2020 | 31 | |
| 14 | 2024 | 31 | |
| 15 | The pragmatics of expressive content: Evidence from large corpora | 2009 | 28 |
| 16 | 2021 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2021 | 27 | |
| 19 | 2023 | 21 | |
| 20 | 2022 | 16 |
About Noah Constant
Noah Constant is a scholar working on Artificial Intelligence, Language and Linguistics, Communication, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 27 papers that have together received 5.6k indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (9 papers), Syntax, Semantics, Linguistic Variation (5 papers), Domain Adaptation and Few-Shot Learning (2 papers), Swearing, Euphemism, Multilingualism (1 paper), Authorship Attribution and Profiling (1 paper), Language, Discourse, Communication Strategies (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (4k citations), Computer Vision and Pattern Recognition (777 citations), Health Informatics (63 citations), Information Systems (533 citations) and General Social Sciences (39 citations). Noah Constant has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Rami Al‐Rfou, Daniel M. Cer, Aditya Barua, Linting Xue, Mihir Kale, Colin Raffel, Yinfei Yang, Aditya Siddhant, Brian P. Strope and Ray Kurzweil. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Linguistics and Philosophy, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), Findings of the Association for Computational Linguistics: ACL 2022 and Annual Meeting of the Association for Computational Linguistics (ACL).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.