Yonatan Bisk
Impact in
- Artificial Intelligence top 1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Speech and dialogue systems
- Adversarial Robustness in Machine Learning
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
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- Topic Modeling 29
- Natural Language Processing Techniques 27
- Speech and dialogue systems 9
- Domain Adaptation and Few-Shot Learning 4
- Speech Recognition and Synthesis 3
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- Multimodal Machine Learning Applications 18
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 3
- Co-authors
- Yejin Choi (6 shared papers)Ari Holtzman (2 shared papers)Yonatan Belinkov (2 shared papers)Ali Farhadi (2 shared papers)Rowan Zellers (1 shared paper)Jianfeng Gao (5 shared papers)Jianwei Yang (1 shared paper)Julia Hockenmaier (7 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)IEEE Robotics and Automation Letters (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Edinburgh Research Explorer (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Yonatan Bisk
45 papers receiving 1.1k citations
Yonatan Bisk's Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 987
- Computer Vision and Pattern Recognition 600
- Health Informatics 17
- Software 13
- Signal Processing 34
Countries citing papers authored by Yonatan Bisk
This map shows the geographic impact of Yonatan Bisk'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 Yonatan Bisk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonatan Bisk more than expected).
Fields of papers citing papers by Yonatan Bisk
This network shows the impact of papers produced by Yonatan Bisk. 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 Yonatan Bisk. The network helps show where Yonatan Bisk may publish in the future.
Co-authors
The 25 scholars most cited alongside Yonatan Bisk, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HellaSwag: Can a Machine Really Finish Your Sentence? Hit paper breakdown → | 2019 | 332 |
| 2 | Synthetic and Natural Noise Both Break Neural Machine Translation | 2018 | 144 |
| 3 | 2019 | 93 | |
| 4 | 2021 | 82 | |
| 5 | 2022 | 67 | |
| 6 | 2019 | 61 | |
| 7 | 2016 | 49 | |
| 8 | 2016 | 40 | |
| 9 | 2021 | 39 | |
| 10 | ALFWorld: Aligning Text and Embodied Environments for Interactive Learning | 2021 | 31 |
| 11 | 2022 | 29 | |
| 12 | 2019 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2013 | 24 | |
| 15 | 2012 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 18 | |
| 18 | Towards a Dataset for Human Computer Communication via Grounded Language Acquisition | 2016 | 12 |
| 19 | 2024 | 11 | |
| 20 | Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising | 2010 | 10 |
About Yonatan Bisk
Yonatan Bisk is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Control and Systems Engineering and Computational Theory and Mathematics, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (29 papers), Natural Language Processing Techniques (27 papers), Multimodal Machine Learning Applications (18 papers), Speech and dialogue systems (9 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (3 papers) and Speech Recognition and Synthesis (3 papers). The work is most often cited by research in Artificial Intelligence (987 citations), Computer Vision and Pattern Recognition (600 citations), Health Informatics (17 citations), Software (13 citations) and Signal Processing (34 citations). Yonatan Bisk has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Yejin Choi, Ari Holtzman, Yonatan Belinkov, Ali Farhadi, Rowan Zellers, Jianfeng Gao, Jianwei Yang, Julia Hockenmaier, Daniel Marcu and Deniz Yüret. Their work appears in journals such as Transactions of the Association for Computational Linguistics, IEEE Robotics and Automation Letters, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Edinburgh Research Explorer and arXiv (Cornell University).
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.