Alexander M. Rush

Cited by

	All	Since 2020
Citations	40019	31971
h-index	66	58
i10-index	129	120

10000

5000

2500

7500

20122013201420152016201720182019202020212022202320242025167 120 172 262 641 1173 2162 3050 3881 4782 5890 8085 9027 283

Public access

View all

39 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Yoon KimAssistant Professor, MITVerified email at mit.edu
Stuart ShieberHarvard UniversityVerified email at seas.harvard.edu
Hendrik StrobeltSenior Research Scientist IBM Research / MIT-IBM Watson AI LabVerified email at strobelt.com
David SontagProfessor, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Michael CollinsGoogle NYCVerified email at cs.columbia.edu
Sumit ChopraCourant Institute of Mathematical Sciences, NYUVerified email at cs.nyu.edu
Yacine JerniteResearch Scientist, HuggingFaceVerified email at cs.nyu.edu
Jason WestonMetaVerified email at fb.com
Anssi KanervistoResearcher, Meta FAIRVerified email at meta.com
Louie HoangHarvard UniversityVerified email at g.harvard.edu
Antoine BordesHelsingVerified email at helsing.ai
Armand JoulinGoogle DeepMindVerified email at google.com
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityVerified email at cs.nyu.edu
Slav PetrovVice President, Research at Google DeepMindVerified email at petrovi.de
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Lingpeng KongGoogle DeepMind, The University of Hong KongVerified email at cs.hku.hk
Karl StratosEssential AIVerified email at karlstratos.com
Guillaume KleinMachine Learning Engineer at Apple

Alexander M. Rush

Associate Professor, Cornell University

Verified email at cornell.edu - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transformers: State-of-the-Art Natural Language Processing T Wolf arXiv preprint arXiv:1910.03771, 2020	9166	2020
A neural attention model for abstractive sentence summarization AM Rush arXiv preprint arXiv:1509.00685, 2015	3604	2015
Opennmt: Open-source toolkit for neural machine translation G Klein, Y Kim, Y Deng, J Senellart, AM Rush arXiv preprint arXiv:1701.02810, 2017	2346	2017
Character-aware neural language models Y Kim, Y Jernite, D Sontag, A Rush Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016	2231	2016
Multitask prompted training enables zero-shot task generalization V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ... arXiv preprint arXiv:2110.08207, 2021	1714	2021
Bloom: A 176b-parameter open-access multilingual language model T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...	1686	2023
Towards ai-complete question answering: A set of prerequisite toy tasks J Weston, A Bordes, S Chopra, AM Rush, B Van Merriënboer, A Joulin, ... arXiv preprint arXiv:1502.05698, 2015	1324	2015
Abstractive sentence summarization with attentive recurrent neural networks S Chopra, M Auli, AM Rush Proceedings of the 2016 conference of the North American chapter of the …, 2016	1215	2016
Sequence-level knowledge distillation Y Kim, AM Rush arXiv preprint arXiv:1606.07947, 2016	1169	2016
Bottom-up abstractive summarization S Gehrmann, Y Deng, AM Rush arXiv preprint arXiv:1808.10792, 2018	863	2018
Challenges in data-to-document generation S Wiseman, SM Shieber, AM Rush arXiv preprint arXiv:1707.08052, 2017	676	2017
Sequence-to-sequence learning as beam-search optimization S Wiseman, AM Rush arXiv preprint arXiv:1606.02960, 2016	676	2016
Structured attention networks Y Kim, C Denton, L Hoang, AM Rush arXiv preprint arXiv:1702.00887, 2017	644	2017
Lstmvis: A tool for visual analysis of hidden state dynamics in recurrent neural networks H Strobelt, S Gehrmann, H Pfister, AM Rush IEEE transactions on visualization and computer graphics 24 (1), 667-676, 2017	558	2017
Gltr: Statistical detection and visualization of generated text S Gehrmann, H Strobelt, AM Rush arXiv preprint arXiv:1906.04043, 2019	550	2019
Movement pruning: Adaptive sparsity by fine-tuning V Sanh, T Wolf, A Rush Advances in neural information processing systems 33, 20378-20389, 2020	474	2020
Zephyr: Direct distillation of lm alignment L Tunstall, E Beeching, N Lambert, N Rajani, K Rasul, Y Belkada, ... arXiv preprint arXiv:2310.16944, 2023	447	2023
Parameter-efficient transfer learning with diff pruning D Guo, AM Rush, Y Kim arXiv preprint arXiv:2012.07463, 2020	402	2020
Adversarially regularized autoencoders J Zhao, Y Kim, K Zhang, A Rush, Y LeCun International conference on machine learning, 5902-5911, 2018	371	2018
Image-to-markup generation with coarse-to-fine attention Y Deng, A Kanervisto, J Ling, AM Rush International Conference on Machine Learning, 980-989, 2017	359*	2017

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors