Graham Neubig

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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
Zhengbao JiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Pengfei LiuCarnegie Mellon UniversityVerified email at andrew.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	1171	2021
Are Sixteen Heads Really Better than One? P Michel, O Levy, G Neubig NeurIPS 2019, 2019	642	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	620	2020
A Syntactic Neural Model for General-Purpose Code Generation P Yin, G Neubig ACL 2017, 2017	610	2017
How can we know what language models know? Z Jiang, FF Xu, J Araki, G Neubig TACL 8, 423-438, 2020	609	2020
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	328	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	318	2018
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data P Yin, G Neubig, W Yih, S Riedel ACL 2020, 2020	301	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
Stress Test Evaluation for Natural Language Inference A Naik, A Ravichander, N Sadeh, C Rose, G Neubig COLING 2018, 2018	277	2018
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick ICLR 2019, 2019	276	2019
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	228	2022
Competence-based Curriculum Learning for Neural Machine Translation EA Platanios, O Stretcu, G Neubig, B Poczos, TM Mitchell NAACL 2019, 2019	226	2019
Controlling output length in neural encoder-decoders Y Kikuchi, G Neubig, R Sasano, H Takamura, M Okumura EMNLP 2016, 2016	224	2016
BARTScore: Evaluating Generated Text as Text Generation W Yuan, G Neubig, P Liu NeurIPS 2021, 2021	217	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	205	2016

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