World's Best Scientists 2026 revealed!
Omer Levy

Omer Levy

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
53
Citations
56700
World Ranking
235
National Ranking
9

Computer Science

D-Index
55
Citations
57435
World Ranking
4171
National Ranking
163

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Omer Levy is a researcher affiliated with Deep Mind in Canada, contributing extensively to the field of computer science, with a specific focus on artificial intelligence. Their scholarly work primarily addresses natural language processing (NLP) and its intersection with machine learning models.

Their research spans several interconnected fields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Cognitive Neuroscience
  • Molecular Biology

Omer Levy's academic output demonstrates a focus on the following main topics:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Speech and Dialogue Systems
  • Speech Recognition and Synthesis
  • Neurobiology of Language and Bilingualism

Their publication record includes contributions to prominent venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Some recent papers authored or co-authored by Omer Levy include:

  • Towards Learning Terminological Concept Systems from Multilingual Natural Language Text (2021), published in Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Using Machine Learning for Vulnerability Detection and Classification (2021), published in arXiv (Cornell University)
  • Shared Computational Principles for Language Processing in Humans and Deep Language Models (2022), published in Nature Neuroscience
  • Emergent Linguistic Structure in Artificial Neural Networks Trained by Self-Supervision (2020), published in Proceedings of the National Academy of Sciences
  • SpanBERT: Improving Pre-training by Representing and Predicting Spans (2020), published in Transactions of the Association for Computational Linguistics

Frequent collaborators in Levy's research include:

  • Luke Zettlemoyer
  • Avia Efrat
  • Uri Shaham
  • Jonathan Berant
  • Wenhan Xiong

Best Publications

  • RoBERTa: A Robustly Optimized BERT Pretraining Approach

    Yinhan Liu;Myle Ott;Naman Goyal;Jingfei Du

  • BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

    Mike Lewis;Yinhan Liu;Naman Goyal;Marjan Ghazvininejad

  • GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

    Alex Wang;Amanpreet Singh;Julian Michael;Felix Hill

  • Neural Word Embedding as Implicit Matrix Factorization

    Omer Levy;Yoav Goldberg

  • SpanBERT: Improving Pre-training by Representing and Predicting Spans

    Mandar Joshi;Danqi Chen;Yinhan Liu;Daniel S. Weld

  • Improving Distributional Similarity with Lessons Learned from Word Embeddings

    Omer Levy;Yoav Goldberg;Ido Dagan

  • word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method.

    Yoav Goldberg;Omer Levy

  • Dependency-Based Word Embeddings

    Omer Levy;Yoav Goldberg

  • SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

    Alex Wang;Yada Pruksachatkun;Nikita Nangia;Amanpreet Singh

  • What Does BERT Look at? An Analysis of BERT’s Attention

    Kevin Clark;Urvashi Khandelwal;Omer Levy;Christopher D. Manning

  • code2vec: learning distributed representations of code

    Uri Alon;Meital Zilberstein;Omer Levy;Eran Yahav

  • Annotation Artifacts in Natural Language Inference Data

    Suchin Gururangan;Swabha Swayamdipta;Omer Levy;Roy Schwartz;Roy Schwartz

  • Linguistic Regularities in Sparse and Explicit Word Representations

    Omer Levy;Yoav Goldberg

  • Shared computational principles for language processing in humans and deep language models

    Unknown

  • Mask-Predict: Parallel Decoding of Conditional Masked Language Models.

    Marjan Ghazvininejad;Omer Levy;Yinhan Liu;Luke Zettlemoyer

  • code2seq: Generating Sequences from Structured Representations of Code

    Uri Alon;Shaked Brody;Omer Levy;Eran Yahav

  • Are Sixteen Heads Really Better than One

    Paul Michel;Omer Levy;Graham Neubig

  • Zero-Shot Relation Extraction via Reading Comprehension

    Omer Levy;Minjoon Seo;Eunsol Choi;Luke Zettlemoyer

  • Emergent linguistic structure in artificial neural networks trained by self-supervision

    Christopher D. Manning;Kevin Clark;John Hewitt;Urvashi Khandelwal

  • BERT for Coreference Resolution: Baselines and Analysis.

    Mandar Joshi;Omer Levy;Luke Zettlemoyer;Daniel S. Weld

  • Do Supervised Distributional Methods Really Learn Lexical Inference Relations

    Omer Levy;Steffen Remus;Chris Biemann;Ido Dagan

Frequent Co-Authors

Luke Zettlemoyer
Luke Zettlemoyer University of Washington
Ido Dagan
Ido Dagan Bar-Ilan University
Uri Alon
Uri Alon Weizmann Institute of Science
Eran Yahav
Eran Yahav Technion – Israel Institute of Technology
Yoav Goldberg
Yoav Goldberg Bar-Ilan University
Samuel R. Bowman
Samuel R. Bowman New York University
Daniel S. Weld
Daniel S. Weld University of Washington
Noah A. Smith
Noah A. Smith University of Washington
Felix Hill
Felix Hill Google (United States)
Michael Lewis
Michael Lewis University of Pittsburgh

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