Xuezhe Ma

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Eduard HovyUniversity of Melbourne, CMUDirección de correo verificada de andrew.cmu.edu
Chunting ZhouFacebook AI ResearchDirección de correo verificada de meta.com
Graham NeubigCarnegie Mellon University, All Hands AIDirección de correo verificada de cs.cmu.edu
Junxian HeHong Kong University of Science and TechnologyDirección de correo verificada de cse.ust.hk
Nanyun (Violet) PengAssociate Professor, UCLADirección de correo verificada de cs.ucla.edu
Jiao SunUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Luke ZettlemoyerUniversity of Washington; MetaDirección de correo verificada de cs.washington.edu
Zhengzhong LiuCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Zhiting HuAssistant Professor at UC San DiegoDirección de correo verificada de ucsd.edu
Xiang KongCarnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Zhisong ZhangCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UDirección de correo verificada de cs.cmu.edu
Jonathan MayUniversity of Southern California, Information Sciences InstituteDirección de correo verificada de jonmay.net
Omer LevyGoogle DeepMindDirección de correo verificada de google.com
Lili YuMeta AIDirección de correo verificada de mit.edu
Rulin ShaoUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Taylor Berg-KirkpatrickUniversity of California San DiegoDirección de correo verificada de ucsd.edu
Hao ZhangUC San DiegoDirección de correo verificada de ucsd.edu
Dacheng LiUC BerkeleyDirección de correo verificada de berkeley.edu
Kai-Wei ChangAssociate Professor, UCLADirección de correo verificada de kwchang.net

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Xuezhe Ma

Information Sciences Institute, University of Southern California

Dirección de correo verificada de usc.edu - Página principal

Natural Language Processing Machine Learning Deep Generative Models Dependency Parsing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF X Ma, E Hovy Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	3613	2016
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, ... Advances in Neural Information Processing Systems 36, 2023	1049	2023
Towards a unified view of parameter-efficient transfer learning J He, C Zhou, X Ma, T Berg-Kirkpatrick, G Neubig Proceedings of 10th International Conference on Learning Representations …, 2022	1010	2022
Harnessing Deep Neural Networks with Logic Rules Z Hu, X Ma, Z Liu, E Hovy, E Xing Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	814	2016
Choosing transfer languages for cross-lingual learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019	258	2019
FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow X Ma, C Zhou, X Li, G Neubig, E Hovy Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019	216	2019
Stack-Pointer Networks for Dependency Parsing X Ma, Z Hu, J Liu, N Peng, G Neubig, E Hovy Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	215	2018
Mega: moving average equipped gated attention X Ma, C Zhou, X Kong, J He, L Gui, G Neubig, J May, L Zettlemoyer International Conference on Learning Representations (ICLR) 2023, 2023	210*	2023
Distflashattn: Distributed memory-efficient attention for long-context llms training D Li, R Shao, A Xie, EP Xing, X Ma, I Stoica, JE Gonzalez, H Zhang arXiv preprint arXiv:2310.03294, 2023	200*	2023
Luna: Linear Unified Nested Attention X Ma, X Kong, S Wang, C Zhou, J May, H Ma, L Zettlemoyer Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS-2021), 2021	156	2021
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing W Ahmad, Z Zhang, X Ma, E Hovy, KW Chang, N Peng Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	156	2019
An Interpretable Knowledge Transfer Model for Knowledge Base Completion Q Xie, X Ma, Z Dai, E Hovy Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017	133	2017
Transfusion: Predict the next token and diffuse images with one multi-modal model C Zhou, L Yu, A Babu, K Tirumala, M Yasunaga, L Shamis, J Kahn, X Ma, ... arXiv preprint arXiv:2408.11039, 2024	112	2024
Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization X Ma, F Xia Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	90	2014
A two-step approach for implicit event argument detection Z Zhang, X Kong, Z Liu, X Ma, E Hovy Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020	81	2020
Texar: A modularized, versatile, and extensible toolkit for text generation Z Hu, H Shi, B Tan, W Wang, Z Yang, T Zhao, J He, L Qin, D Wang, X Ma, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019	78*	2019
Prompt consistency for zero-shot task generalization C Zhou, J He, X Ma, T Berg-Kirkpatrick, G Neubig Findings of the Association for Computational Linguistics: EMNLP 2022, 2022	77	2022
Examining and Combating Spurious Features under Distribution Shift C Zhou, X Ma, P Michel, G Neubig Proceedings of the 38th International Conference on Machine Learning, 2021	76	2021
Fourth-Order Dependency Parsing. X Ma, H Zhao Proceedings of the 24th International Conference on Computational …, 2012	69	2012
Personalized response generation via generative split memory network Y Wu, X Ma, D Yang Proceedings of the 2021 Conference of the North American Chapter of the …, 2021	67	2021

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