Jonathan Tow
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
Papers in
-
- Topic Modeling 2
- Reinforcement Learning in Robotics 1
- Natural Language Processing Techniques 1
- Co-authors
- Stella Biderman (2 shared papers)Quentin G. Anthony (2 shared papers)Michael Pieler (1 shared paper)Ben Wang (1 shared paper)Laria Reynolds (1 shared paper)Horace He (1 shared paper)Jason Phang (1 shared paper)Samuel Weinbach (1 shared paper)
- Journals
- Conference on Empirical Methods in Natural Language Processing (EMNLP) (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Tow
2 papers receiving 276 citations
Jonathan Tow's Hit Papers
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 181
- Health Informatics 7
- Hardware and Architecture 21
- Software 13
- Information Systems 52
Countries citing papers authored by Jonathan Tow
This map shows the geographic impact of Jonathan Tow'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 Jonathan Tow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Tow more than expected).
Fields of papers citing papers by Jonathan Tow
This network shows the impact of papers produced by Jonathan Tow. 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 Jonathan Tow. The network helps show where Jonathan Tow may publish in the future.
Co-authors
The 11 scholars most cited alongside Jonathan Tow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GPT-NeoX-20B: An Open-Source Autoregressive Language Model Hit paper breakdown → | 2022 | 279 |
| 2 | 2023 | 10 |
About Jonathan Tow
Jonathan Tow is a scholar working on Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 289 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Reinforcement Learning in Robotics (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (181 citations), Health Informatics (7 citations), Hardware and Architecture (21 citations), Software (13 citations) and Information Systems (52 citations). Jonathan Tow has collaborated with scholars based in United States. Frequent co-authors include Stella Biderman, Quentin G. Anthony, Michael Pieler, Ben Wang, Laria Reynolds, Horace He, Jason Phang, Samuel Weinbach, Kyle McDonell and Connor Leahy. Their work appears in journals such as Conference on Empirical Methods in Natural Language Processing (EMNLP).
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.