Omer Levy - AI Profile

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Lecturer

School of Computer Science, Tel Aviv University

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My research is in the intersection of natural language processing (NLP) and machine learning. I have worked on a variety of topics including semantics, self-supervised learning, machine translation, language modeling, dataset annotation, and explainability. I am particularly interested in creating NLP models that can generalize well.

Research Interests

Papers65 papers

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Neural Machine Translation without Embeddings

Uri Shaham,Omer Levy

NAACL-HLT, pp.181-186, (2021)

EIBibtex

Can Latent Alignments Improve Autoregressive Machine Translation

Adi Haviv,Lior Vassertail,Omer Levy

NAACL-HLT, pp.2637-2641, (2021)

EIBibtex

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

Lewis Mike, Liu Yinhan,Goyal Naman,Ghazvininejad Marjan,Mohamed Abdelrahman,Levy Omer,Stoyanov Ves,Zettlemoyer Luke

ACL, pp.7871-7880, (2020)

Cited by523EIBibtex

Structural Language Models of Code

Uri Alon, Roy Sadaka,Omer Levy,Eran Yahav

ICML, pp.245-256, (2020)

Cited by2EIBibtex

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

Christopher D Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal,Omer Levy

Proc. Natl. Acad. Sci. USA, no. 48 (2020): 30046-30054

Cited by39WOSEIBibtex

Generalization through Memorization: Nearest Neighbor Language Models

Urvashi Khandelwal,Omer Levy,Dan Jurafsky, Luke Zettlemoyer,Mike Lewis

ICLR, (2020)

Cited by43EIBibtex

Aligned Cross Entropy for Non-Autoregressive Machine Translation

Ghazvininejad Marjan,Karpukhin Vladimir, Zettlemoyer Luke,Levy Omer

ICML, pp.3515-3523, (2020)

Cited by3EIBibtex

Semi-Autoregressive Training Improves Mask-Predict Decoding

Ghazvininejad Marjan,Levy Omer,Zettlemoyer Luke

Cited by14Bibtex

Improving Transformer Models by Reordering their Sublayers

Press Ofir,Smith Noah A.,Levy Omer

ACL, pp.2996-3005, (2020)

Cited by13EIBibtex

code2vec: Learning Distributed Representations of Code

Uri Alon, Meital Zilberstein,Omer Levy,Eran Yahav

symposium on principles of programming languages, (2019)

Cited by5EIBibtex

Blockwise Self-Attention for Long Document Understanding

Qiu Jiezhong,Ma Hao,Levy Omer,Yih Scott Wen-tau, Wang Sinong,Tang Jie

EMNLP, pp.2555-2565, (2019)

Cited by12EIBibtex

Structural Language Models for Any-Code Generation

Alon Uri, Sadaka Roy,Levy Omer,Yahav Eran

Bibtex

BERT for Coreference Resolution: Baselines and Analysis

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

Cited by90Bibtex

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Liu Yinhan,Ott Myle,Goyal Naman,Du Jingfei, Joshi Mandar,Chen Danqi,Levy Omer,Lewis Mike,Zettlemoyer Luke,Stoyanov Veselin

Cited by2676Bibtex

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Joshi Mandar,Chen Danqi, Liu Yinhan,Weld Daniel S.,Zettlemoyer Luke,Levy Omer

Transactions of the Association for Computational Linguistics, (2019): 64-77

Cited by348Bibtex

code2seq: Generating Sequences from Structured Representations of Code

Alon Uri, Brody Shaked,Levy Omer,Yahav Eran

ICLR, (2019)

EIBibtex

Constant-Time Machine Translation with Conditional Masked Language Models

Marjan Ghazvininejad,Omer Levy, Yinhan Liu,Luke Zettlemoyer

International Joint Conference on Natural Language Processing, (2019)

EIBibtex

Mask-Predict: Parallel Decoding of Conditional Masked Language Models

Marjan Ghazvininejad,Omer Levy, Yinhan Liu,Luke Zettlemoyer

EMNLP/IJCNLP (1), pp.6111-6120, (2019)

Cited by116EIBibtex

Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation

Vladimir Karpukhin,Omer Levy,Jacob Eisenstein,Marjan Ghazvininejad

W-NUT@EMNLP, (2019): 42-47

Cited by29EIBibtex

A Stickier Benchmark for General-Purpose Language Understanding Systems

Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael,Felix Hill,Omer Levy,Samuel Bowman

neural information processing systems, (2019)

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