Omer Levy

20.3k citations

47 papers · 6.8k indexed · 6 hit papers · h-index 22

Artificial Intelligence top 0.1%
- Topic Modeling 36
- Natural Language Processing Techniques 33
- Text Readability and Simplification 9
- Speech and dialogue systems 4
- Semantic Web and Ontologies 3
Computer Vision and Pattern Recognition top 0.5%
- Multimodal Machine Learning Applications 4
Computational Mathematics top 5%
Health Informatics top 5%
General Social Sciences top 0.2%
Information Systems
- Software Engineering Research 4
Molecular Biology
- Biomedical Text Mining and Ontologies 2

Co-authors: Yoav Goldberg Amanpreet Singh Felix Hill Julian Michael Samuel Bowman Alex Wang Ido Dagan Samuel R. Bowman
Cited by: Artificial Intelligence Computer Vision and Pattern Recognition Computational Mathematics
Journals: Annals of The Royal College of Surgeons of England (2 papers)Scientific Reports (1 paper)Nature Communications (1 paper)
Partner nations: Israel United States Germany

In The Last Decade

Omer Levy

46 papers receiving 6.3k citations

Hit Papers

6 papers align trajectories log scale

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

2018 GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
2018 International Conference on Learning Representations
2015 Transactions of the Association for Computational Linguistics
2014 Neural Information Processing Systems
2014 Dependency-Based Word Embeddings
2014 Linguistic Regularities in Sparse and Explicit Word Representations

Peers

Countries citing papers authored by Omer Levy

Since Specialization

Citations

This map shows the geographic impact of Omer Levy'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 Omer Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omer Levy more than expected).

Fields of papers citing papers by Omer Levy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Omer Levy. 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 Omer Levy. The network helps show where Omer Levy may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Omer Levy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Omer Levy Line = papers co-authored together Omer Levy links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Branch-Solve-Merge Improves Large Language Model Evaluation and Generation Swarnadeep Saha,Omer Levy,Aslı Çelikyılmaz,Mohit Bansal,Jason Weston,Xian Li	2024	3
2	Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor Or Honovich,Thomas Scialom,Omer Levy,Timo Schick	2023	50
3	Causes and Cures for Interference in Multilingual Translation Uri Shaham,Maha Elbayad,Vedanuj Goswami,Omer Levy,Shruti Bhosale	2023	3
4	Translating Akkadian to English with neural machine translation PNAS Nexus ·G. Konechy,Kim Nuytens,育恵小河,Omer Levy,Jonathan Berant	2023	14
5	Instruction Induction: From Few Examples to Natural Language Task Descriptions Or Honovich,Uri Shaham,Samuel R. Bowman,Omer Levy	2023	28
6	Transformer Language Models without Positional Encodings Still Learn Positional Information Feng Di,Ori Ram,Ofir Press,K. Bujko,Omer Levy	2022	28
7	Targeting the actin nucleation promoting factor WASp provides a therapeutic approach for hematopoietic malignancies Nature Communications ·A. Mohamed,Aviad Ben‐Shmuel,Felicia Burvall,Noah Joseph,M. Thomas,Ryo Nakabayashi,Omer Levy,Budhesh Pratap Singh,Ariel Feiglin,Yanay Ofran,Meirav Kedmi,Abraham Avigdor,T. Nakai,Mira Barda‐Saad	2021	13
8	Emergent linguistic structure in artificial neural networks trained by self-supervision Proceedings of the National Academy of Sciences ·Christopher D. Manning,Kevin B. Clark,John Hewitt,Urvashi Khandelwal,Omer Levy	2020	157
9	Aligned Cross Entropy for Non-Autoregressive Machine Translation International Conference on Machine Learning ·Marjan Ghazvininejad,Vladimir Karpukhin,Luke Zettlemoyer,Omer Levy	2020	12
10	Blockwise Self-Attention for Long Document Understanding Jiezhong Qiu,Hao Ma,Omer Levy,Wen-tau Yih,Sinong Wang,Jie Tang	2020	93
11	SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Neural Information Processing Systems ·Alex Wang,Yada Pruksachatkun,Nikita Nangia,Amanpreet Singh,Julian Michael,Felix Hill,Omer Levy,Samuel R. Bowman	2019	166
12	Constant-Time Machine Translation with Conditional Masked Language Models. arXiv (Cornell University) ·Marjan Ghazvininejad,Omer Levy,Yinhan Liu,Luke Zettlemoyer	2019	12
13	Understanding Large-Scale Software – A Hierarchical View Omer Levy,Dror G. Feitelson	2019	8
14	Ultra-Fine Entity Typing Eunsol Choi,Omer Levy,Yejin Choi,Luke Zettlemoyer	2018	111
15	GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understandingbreakdown → International Conference on Learning Representations ·Alex Wang,Amanpreet Singh,Julian Michael,Felix Hill,Omer Levy,Samuel R. Bowman	2018	630
16	Modeling Extractive Sentence Intersection via Subtree Entailment TUbilio (Technical University of Darmstadt) ·Omer Levy,Ido Dagan,Gabriel Stanovsky,Judith Eckle‐Kohler,Iryna Gurevych	2016	2
17	Linguistic Regularities in Sparse and Explicit Word Representationsbreakdown → Omer Levy,Yoav Goldberg	2014	314
18	Neural Word Embedding as Implicit Matrix Factorizationbreakdown → Neural Information Processing Systems ·Omer Levy,Yoav Goldberg	2014	859
19	Dependency-Based Word Embeddingsbreakdown → Omer Levy,Yoav Goldberg	2014	613
20	UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis Joint Conference on Lexical and Computational Semantics ·Omer Levy,Torsten Zesch,Ido Dagan,Iryna Gurevych	2013	15

About Omer Levy

Omer Levy is a scholar working on Artificial Intelligence, Immunology and Allergy, Computer Vision and Pattern Recognition, Software and Information Systems, having authored 47 papers that have together received 6.8k indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Natural Language Processing Techniques (33 papers), Text Readability and Simplification (9 papers), Speech and dialogue systems (4 papers), Software Engineering Research (4 papers), Multimodal Machine Learning Applications (4 papers), Semantic Web and Ontologies (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (5.8k citations), Computer Vision and Pattern Recognition (1.3k citations), Computational Mathematics (22 citations), Health Informatics (45 citations) and General Social Sciences (103 citations). Omer Levy has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Yoav Goldberg, Amanpreet Singh, Felix Hill, Julian Michael, Samuel Bowman, Alex Wang, Ido Dagan, Samuel R. Bowman, Alex Wang and Luke Zettlemoyer. Their work appears in journals such as Annals of The Royal College of Surgeons of England, Scientific Reports, Nature Communications, Transactions of the Association for Computational Linguistics and Empirical Software Engineering.

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.

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