Omer Levy

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 130

Top Venues

CoRR

NAACL-HLT

CoNLL

ACL (2)

Publications

Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. CoRR (2024)
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason Weston, Mike Lewis
Self-Alignment with Instruction Backtranslation. ICLR (2024)
Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. NAACL-HLT (2024)
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
LIMA: Less Is More for Alignment. CoRR (2023)
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Luke Zettlemoyer, Omer Levy, Jason Weston, Mike Lewis
Self-Alignment with Instruction Backtranslation. CoRR (2023)
Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. CoRR (2023)
Avia Efrat, Or Honovich, Omer Levy
LMentry: A Language Model Benchmark of Elementary Language Tasks. ACL (Findings) (2023)
Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale
Causes and Cures for Interference in Multilingual Translation. ACL (1) (2023)
Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation. NeurIPS (2023)
Or Honovich, Uri Shaham, Samuel R. Bowman, Omer Levy
Instruction Induction: From Few Examples to Natural Language Task Descriptions. ACL (1) (2023)
Yuval Kirstain, Omer Levy, Adam Polyak
X&Fuse: Fusing Visual Information in Text-to-Image Generation. CoRR (2023)
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
Scaling Laws for Generative Mixed-Modal Language Models. ICML (2023)
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023)
Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy
ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. EMNLP (Findings) (2023)
Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, Omer Levy
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation. CoRR (2023)
Tomer Ronen, Omer Levy, Avram Golbert
Vision Transformers with Mixed-Resolution Tokenization. CoRR (2023)
Or Honovich, Thomas Scialom, Omer Levy, Timo Schick
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. ACL (1) (2023)
Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
LIMA: Less Is More for Alignment. NeurIPS (2023)
Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. CoRR (2023)
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
Scaling Laws for Generative Mixed-Modal Language Models. CoRR (2023)
Tomer Ronen, Omer Levy, Avram Golbert
Vision Transformers with Mixed-Resolution Tokenization. CVPR Workshops (2023)
Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR (2023)
Adi Haviv, Ori Ram, Ofir Press, Peter Izsak, Omer Levy
Transformer Language Models without Positional Encodings Still Learn Positional Information. EMNLP (Findings) (2022)
Adi Haviv, Ori Ram, Ofir Press, Peter Izsak, Omer Levy
Transformer Language Models without Positional Encodings Still Learn Positional Information. CoRR (2022)
Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale
Causes and Cures for Interference in Multilingual Translation. CoRR (2022)
Or Honovich, Thomas Scialom, Omer Levy, Timo Schick
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. CoRR (2022)
Omri Keren, Tal Avinari, Reut Tsarfaty, Omer Levy
Breaking Character: Are Subwords Good Enough for MRLs After All? CoRR (2022)
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad
Simple Local Attentions Remain Competitive for Long-Context Tasks. NAACL-HLT (2022)
Yuval Kirstain, Patrick S. H. Lewis, Sebastian Riedel, Omer Levy
A Few More Examples May Be Worth Billions of Parameters. EMNLP (Findings) (2022)
Lior Vassertail, Omer Levy
A Simple Baseline for Beam Search Reranking. CoRR (2022)
Or Honovich, Uri Shaham, Samuel R. Bowman, Omer Levy
Instruction Induction: From Few Examples to Natural Language Task Descriptions. CoRR (2022)
Avia Efrat, Or Honovich, Omer Levy
LMentry: A Language Model Benchmark of Elementary Language Tasks. CoRR (2022)
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy
SCROLLS: Standardized CompaRison Over Long Language Sequences. EMNLP (2022)
Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson
Learning to Retrieve Passages without Supervision. NAACL-HLT (2022)
Or Castel, Ori Ram, Avia Efrat, Omer Levy
How Optimal is Greedy Decoding for Extractive Question Answering? AKBC (2022)
Itay Itzhak, Omer Levy
Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens. NAACL-HLT (2022)
Avital Friedland, Jonathan Zeltser, Omer Levy
Are Mutually Intelligible Languages Easier to Translate? CoRR (2022)
Uri Shaham, Omer Levy
What Do You Get When You Cross Beam Search with Nucleus Sampling? Insights@ACL (2022)
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy
SCROLLS: Standardized CompaRison Over Long Language Sequences. CoRR (2022)
Yuval Kirstain, Ori Ram, Omer Levy
Coreference Resolution without Span Representations. CoRR (2021)
Itay Itzhak, Omer Levy
Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens. CoRR (2021)
Peter Izsak, Moshe Berchansky, Omer Levy
How to Train BERT with an Academic Budget. EMNLP (1) (2021)
Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy
Transformer Feed-Forward Layers Are Key-Value Memories. EMNLP (1) (2021)
Or Castel, Ori Ram, Avia Efrat, Omer Levy
How Optimal is Greedy Decoding for Extractive Question Answering? CoRR (2021)
Adi Haviv, Lior Vassertail, Omer Levy
Can Latent Alignments Improve Autoregressive Machine Translation? CoRR (2021)
Uri Shaham, Omer Levy
What Do You Get When You Cross Beam Search with Nucleus Sampling? CoRR (2021)
Peter Izsak, Moshe Berchansky, Omer Levy
How to Train BERT with an Academic Budget. CoRR (2021)
Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy
Few-Shot Question Answering by Pretraining Span Selection. CoRR (2021)
Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson, Omer Levy
Few-Shot Question Answering by Pretraining Span Selection. ACL/IJCNLP (1) (2021)
Ori Ram, Gal Shachaf, Omer Levy, Jonathan Berant, Amir Globerson
Learning to Retrieve Passages without Supervision. CoRR (2021)
Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Wen-tau Yih, Yashar Mehdad
Simple Local Attentions Remain Competitive for Long-Context Tasks. CoRR (2021)
Adi Haviv, Lior Vassertail, Omer Levy
Can Latent Alignments Improve Autoregressive Machine Translation? NAACL-HLT (2021)
Avia Efrat, Uri Shaham, Dan Kilman, Omer Levy
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language. CoRR (2021)
Uri Shaham, Omer Levy
Neural Machine Translation without Embeddings. NAACL-HLT (2021)
Yuval Kirstain, Patrick Lewis, Sebastian Riedel, Omer Levy
A Few More Examples May Be Worth Billions of Parameters. CoRR (2021)
Omer Levy, Dror G. Feitelson
Understanding large-scale software systems - structure and flows. Empir. Softw. Eng. 26 (3) (2021)
Avia Efrat, Uri Shaham, Dan Kilman, Omer Levy
Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language. EMNLP (1) (2021)
Omri Keren, Omer Levy
ParaShoot: A Hebrew Question Answering Dataset. CoRR (2021)
Yuval Kirstain, Ori Ram, Omer Levy
Coreference Resolution without Span Representations. ACL/IJCNLP (2) (2021)
Uri Shaham, Omer Levy
Neural Machine Translation without Embeddings. CoRR (2020)
Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy
Aligned Cross Entropy for Non-Autoregressive Machine Translation. CoRR (2020)
Avia Efrat, Omer Levy
The Turking Test: Can Language Models Understand Instructions? CoRR (2020)
Ofir Press, Noah A. Smith, Omer Levy
Improving Transformer Models by Reordering their Sublayers. ACL (2020)
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy
SpanBERT: Improving Pre-training by Representing and Predicting Spans. Trans. Assoc. Comput. Linguistics 8 (2020)
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. ACL (2020)
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
Generalization through Memorization: Nearest Neighbor Language Models. ICLR (2020)
Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang
Blockwise Self-Attention for Long Document Understanding. EMNLP (Findings) (2020)
Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy
Aligned Cross Entropy for Non-Autoregressive Machine Translation. ICML (2020)
Marjan Ghazvininejad, Omer Levy, Luke Zettlemoyer
Semi-Autoregressive Training Improves Mask-Predict Decoding. CoRR (2020)
Mor Geva, Roei Schuster, Jonathan Berant, Omer Levy
Transformer Feed-Forward Layers Are Key-Value Memories. CoRR (2020)
Christopher D. Manning, Kevin Clark, John Hewitt, Urvashi Khandelwal, Omer Levy
Emergent linguistic structure in artificial neural networks trained by self-supervision. Proc. Natl. Acad. Sci. USA 117 (48) (2020)
Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav
Structural Language Models of Code. ICML (2020)
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. CoRR (2019)
Jiezhong Qiu, Hao Ma, Omer Levy, Scott Wen-tau Yih, Sinong Wang, Jie Tang
Blockwise Self-Attention for Long Document Understanding. CoRR (2019)
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer
Constant-Time Machine Translation with Conditional Masked Language Models. CoRR (2019)
Marjan Ghazvininejad, Omer Levy, Yinhan Liu, Luke Zettlemoyer
Mask-Predict: Parallel Decoding of Conditional Masked Language Models. EMNLP/IJCNLP (1) (2019)
Paul Michel, Omer Levy, Graham Neubig
Are Sixteen Heads Really Better than One? NeurIPS (2019)
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy
SpanBERT: Improving Pre-training by Representing and Predicting Spans. CoRR (2019)
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
What Does BERT Look At? An Analysis of BERT's Attention. CoRR (2019)
Mandar Joshi, Omer Levy, Luke Zettlemoyer, Daniel S. Weld
BERT for Coreference Resolution: Baselines and Analysis. EMNLP/IJCNLP (1) (2019)
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. W-NUT@EMNLP (2019)
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov
RoBERTa: A Robustly Optimized BERT Pretraining Approach. CoRR (2019)
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. CoRR (2019)
Uri Alon, Meital Zilberstein, Omer Levy, Eran Yahav
code2vec: learning distributed representations of code. Proc. ACM Program. Lang. 3 (POPL) (2019)
Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. NAACL-HLT (1) (2019)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. ICLR (Poster) (2019)
Urvashi Khandelwal, Omer Levy, Dan Jurafsky, Luke Zettlemoyer, Mike Lewis
Generalization through Memorization: Nearest Neighbor Language Models. CoRR (2019)
Uri Alon, Shaked Brody, Omer Levy, Eran Yahav
code2seq: Generating Sequences from Structured Representations of Code. ICLR (Poster) (2019)
Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad
Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. CoRR (2019)
Kevin Clark, Urvashi Khandelwal, Omer Levy, Christopher D. Manning
What Does BERT Look at? An Analysis of BERT's Attention. BlackboxNLP@ACL (2019)
Paul Michel, Omer Levy, Graham Neubig
Are Sixteen Heads Really Better than One? CoRR (2019)
Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
BERT for Coreference Resolution: Baselines and Analysis. CoRR (2019)
Ofir Press, Noah A. Smith, Omer Levy
Improving Transformer Models by Reordering their Sublayers. CoRR (2019)
Omer Levy, Dror G. Feitelson
Understanding large-scale software: a hierarchical view. ICPC (2019)
Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav
Structural Language Models for Any-Code Generation. CoRR (2019)
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. NeurIPS (2019)
Mandar Joshi, Eunsol Choi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference. CoRR (2018)
Eunsol Choi, Omer Levy, Yejin Choi, Luke Zettlemoyer
Ultra-Fine Entity Typing. CoRR (2018)
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel R. Bowman, Noah A. Smith
Annotation Artifacts in Natural Language Inference Data. NAACL-HLT (2) (2018)
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. BlackboxNLP@EMNLP (2018)

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Publication Activity (10 Years)

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Omer Levy