Chunting Zhou

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Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
Xuezhe MaInformation Sciences Institute, University of Southern CaliforniaVerified email at usc.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Francis C. M. LauHonorary Professor, The University of Hong KongVerified email at cs.hku.hk
Junxian HeHong Kong University of Science and TechnologyVerified email at cse.ust.hk
Zhiyuan LiuAssociate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Jiatao GuApple AI/ML (MLR)Verified email at apple.com
Marjan GhazvininejadResearch Scientist, FAIR (Facebook AI Research)Verified email at fb.com
Pengfei LiuAssociate professor at Shanghai Jiaotong UniversityVerified email at andrew.cmu.edu
Xiang KongCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Omer LevyTel Aviv University; Meta AIVerified email at cs.tau.ac.il
Pengcheng YinGoogle DeepmindVerified email at google.com
Mona DiabProfessor & Director of Language Technologies Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
David MortensenCarnegie Mellon UniversityVerified email at cs.cmu.edu
Aditi ChaudharyGoogle Research, Carnegie Mellon UniversityVerified email at google.com
Paul MichelResearch Scientist, DeepMindVerified email at deepmind.com
Di WangWoobo Inc., Carnegie Mellon UniversityVerified email at cs.cmu.edu
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Francisco (Paco) GuzmánResearch Scientist - Facebook AIVerified email at fb.com

Chunting Zhou

Facebook AI Research

Verified email at meta.com - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A C-LSTM neural network for text classification C Zhou, C Sun, Z Liu, F Lau arXiv preprint arXiv:1511.08630, 2015	1119	2015
Towards a unified view of parameter-efficient transfer learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig ICLR 2022, 2022	378	2022
Understanding knowledge distillation in non-autoregressive machine translation C Zhou, G Neubig, J Gu ICLR 2020, 2019	191	2019
Flowseq: Non-autoregressive conditional sequence generation with generative flow X Ma, C Zhou, X Li, G Neubig, E Hovy EMNLP 2019, 2019	178	2019
Lima: Less is more for alignment C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ... arXiv preprint arXiv:2305.11206, 2023	141	2023
Structvae: Tree-structured latent variable models for semi-supervised semantic parsing P Yin, C Zhou, J He, G Neubig ACL 2018, 2018	113	2018
Detecting hallucinated content in conditional neural sequence generation C Zhou, G Neubig, J Gu, M Diab, P Guzman, L Zettlemoyer, ... ACL-Findings 2021, 2020	101	2020
Luna: Linear Unified Nested Attention X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer NeurIPS 2021, 2021	89	2021
Multi-space variational encoder-decoders for semi-supervised labeled sequence transduction C Zhou, G Neubig ACL 2017, 2017	69	2017
Adapting word embeddings to new languages with morphological and phonological subword representations A Chaudhary, C Zhou, L Levin, G Neubig, DR Mortensen, JG Carbonell EMNLP 2018, 2018	52	2018
Examining and Combating Spurious Features under Distribution Shift C Zhou, X Ma, P Michel, G Neubig ICML 2021, 2021	50	2021
Density matching for bilingual word embedding C Zhou, X Ma, D Wang, G Neubig NAACL 2019, 2019	40	2019
In-context Examples Selection for Machine Translation S Agrawal, C Zhou, M Lewis, L Zettlemoyer, M Ghazvininejad ACL-Findings 2023, 2022	39	2022
Mega: moving average equipped gated attention X Ma, C Zhou, X Kong, J He, L Gui, G Neubig, J May, L Zettlemoyer ICLR 2023, 2022	38*	2022
MAE: Mutual posterior-divergence regularization for variational autoencoders X Ma, C Zhou, E Hovy ICLR 2019, 2019	34	2019
Prompt Consistency for Zero-Shot Task Generalization C Zhou, J He, X Ma, T Berg-Kirkpatrick, G Neubig EMNLP-Finding 2022, 2022	32	2022
Handling syntactic divergence in low-resource machine translation C Zhou, X Ma, J Hu, G Neubig EMNLP 2019, 2019	26	2019
Morphological inflection generation with multi-space variational encoder-decoders C Zhou, G Neubig Proceedings of the CoNLL SIGMORPHON 2017 Shared Task: Universal …, 2017	23	2017
Distributionally Robust Multilingual Machine Translation C Zhou, D Levy, X Li, M Ghazvininejad, G Neubig EMNLP 2021, 2021	19	2021
Self-alignment with instruction backtranslation X Li, P Yu, C Zhou, T Schick, L Zettlemoyer, O Levy, J Weston, M Lewis arXiv preprint arXiv:2308.06259, 2023	15	2023

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