Sewon Min
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Explainable Artificial Intelligence (XAI)
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- Multimodal Machine Learning Applications
Papers in
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- Topic Modeling 29
- Natural Language Processing Techniques 25
- Domain Adaptation and Few-Shot Learning 5
- Advanced Graph Neural Networks 5
- Speech and dialogue systems 2
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- Multimodal Machine Learning Applications 10
- Co-authors
- Hannaneh Hajishirzi (21 shared papers)Luke Zettlemoyer (16 shared papers)Xinxi Lyu (4 shared papers)Mike Lewis (4 shared papers)Ari Holtzman (1 shared paper)Mikel Artetxe (1 shared paper)Victor Wenze Zhong (2 shared papers)Danqi Chen (3 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Journal of Human Resources in Hospitality & Tourism (1 paper)International Conference on Learning Representations (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2 papers)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2 papers)
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Sewon Min
34 papers receiving 1.9k citations
Sewon Min's Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 1.6k
- Computer Vision and Pattern Recognition 549
- Health Informatics 36
- Information Systems 248
- Software 24
Countries citing papers authored by Sewon Min
This map shows the geographic impact of Sewon Min'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 Sewon Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sewon Min more than expected).
Fields of papers citing papers by Sewon Min
This network shows the impact of papers produced by Sewon Min. 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 Sewon Min. The network helps show where Sewon Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Sewon Min, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Hit paper breakdown → | 2022 | 471 |
| 2 | Measuring and Narrowing the Compositionality Gap in Language Models Hit paper breakdown → | 2023 | 149 |
| 3 | 2023 | 130 | |
| 4 | 2019 | 120 | |
| 5 | 2020 | 105 | |
| 6 | 2018 | 101 | |
| 7 | 2022 | 101 | |
| 8 | 2019 | 92 | |
| 9 | REPLUG: Retrieval-Augmented Black-Box Language Models Hit paper breakdown → | 2024 | 88 |
| 10 | 2017 | 84 | |
| 11 | 2019 | 76 | |
| 12 | 2023 | 73 | |
| 13 | 2022 | 69 | |
| 14 | 2020 | 51 | |
| 15 | 2023 | 50 | |
| 16 | Query-Reduction Networks for Question Answering | 2016 | 32 |
| 17 | 2020 | 28 | |
| 18 | 2022 | 24 | |
| 19 | 2022 | 17 | |
| 20 | 2019 | 17 |
About Sewon Min
Sewon Min is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, General Social Sciences and Organizational Behavior and Human Resource Management, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (25 papers), Multimodal Machine Learning Applications (10 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Graph Neural Networks (5 papers), Software Engineering Research (2 papers), Speech and dialogue systems (2 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computer Vision and Pattern Recognition (549 citations), Health Informatics (36 citations), Information Systems (248 citations) and Software (24 citations). Sewon Min has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Hannaneh Hajishirzi, Luke Zettlemoyer, Xinxi Lyu, Mike Lewis, Ari Holtzman, Mikel Artetxe, Victor Wenze Zhong, Danqi Chen, Minjoon Seo and Wen-tau Yih. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Journal of Human Resources in Hospitality & Tourism, International Conference on Learning Representations, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.