Graham Neubig

Cited by

	All	Since 2018
Citations	21466	19143
h-index	75	69
i10-index	298	262

6000

3000

1500

4500

201220132014201520162017201820192020202120222023104 150 290 347 573 738 1256 1846 2960 4143 5935 2963

Public access

View all

45 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Satoshi NakamuraNara Institute of Science and TechnologyVerified email at is.naist.jp
Sakriani SaktiAssoc. Prof. of JAIST; Adjunct Assoc. Prof. of NAISTVerified email at is.naist.jp
Tomoki TodaNagoya UniversityVerified email at icts.nagoya-u.ac.jp
Antonis AnastasopoulosAssistant Professor, George Mason UniversityVerified email at gmu.edu
Pengcheng YinGoogleVerified email at google.com
Pengfei LiuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Zhengbao JiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Paul MichelResearch Scientist, DeepMindVerified email at deepmind.com
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Yusuke ODACTO, Inspired CognitionVerified email at legalforce.co.jp
Junxian HeCarnegie Mellon UniversityVerified email at cs.cmu.edu
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Hiroaki HayashiSalesforce ResearchVerified email at salesforce.com
Xinyi WangResearch Scientist, GoogleVerified email at google.com
Chunting ZhouFacebook AI ResearchVerified email at meta.com
Fangzheng (Frank) XuCarnegie Mellon UniversityVerified email at cs.cmu.edu
Shinnosuke TakamichiUniversity of TokyoVerified email at ipc.i.u-tokyo.ac.jp
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Matthias SperberAppleVerified email at apple.com
Chris DyerDeepMind, Carnegie MellonVerified email at google.com

Graham Neubig

Carnegie Mellon University, Inspired Cognition

Verified email at cs.cmu.edu - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig ACM Computing Surveys, 2021	1202	2021
Are Sixteen Heads Really Better than One? P Michel, O Levy, G Neubig NeurIPS 2019, 2019	650	2019
XTREME: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson ICML 2020, 2020	622	2020
How can we know what language models know? Z Jiang, FF Xu, J Araki, G Neubig TACL 8, 423-438, 2020	613	2020
A Syntactic Neural Model for General-Purpose Code Generation P Yin, G Neubig ACL 2017, 2017	611	2017
Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	424*	2017
Pointwise prediction for robust, adaptable Japanese morphological analysis G Neubig, Y Nakata, S Mori ACL 2011, 529-533, 2011	329	2011
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? Y Qi, DS Sachan, M Felix, SJ Padmanabhan, G Neubig NAACL 2018, 2018	320	2018
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data P Yin, G Neubig, W Yih, S Riedel ACL 2020, 2020	302	2020
Learning to generate pseudo-code from source code using statistical machine translation (t) Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura ASE 2015, 574-584, 2015	300	2015
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick ICLR 2019, 2019	277	2019
Stress Test Evaluation for Natural Language Inference A Naik, A Ravichander, N Sadeh, C Rose, G Neubig COLING 2018, 2018	277	2018
Controllable Invariance through Adversarial Feature Learning Q Xie, Z Dai, Y Du, E Hovy, G Neubig NIPS 2017, 2017	254	2017
Towards a unified view of parameter-efficient transfer learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig ICLR 2022, 2022	230	2022
Competence-based Curriculum Learning for Neural Machine Translation EA Platanios, O Stretcu, G Neubig, B Poczos, TM Mitchell NAACL 2019, 2019	228	2019
Controlling output length in neural encoder-decoders Y Kikuchi, G Neubig, R Sasano, H Takamura, M Okumura EMNLP 2016, 2016	227	2016
BARTScore: Evaluating Generated Text as Text Generation W Yuan, G Neubig, P Liu NeurIPS 2021, 2021	221	2021
Neural machine translation and sequence-to-sequence models: A tutorial G Neubig arXiv preprint arXiv:1703.01619, 2017	214	2017
Weight Poisoning Attacks on Pre-trained Models K Kurita, P Michel, G Neubig ACL 2020, 2020	211	2020
Incorporating discrete translation lexicons into neural machine translation P Arthur, G Neubig, S Nakamura EMNLP 2016, 2016	208	2016

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