He He

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Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Vishakh PadmakumarNew York UniversityVerified email at nyu.edu
Nitish JoshiNew York UniversityVerified email at nyu.edu
Richard Yuanzhe PangMeta, New York UniversityVerified email at nyu.edu
Jordan Boyd-GraberFull Professor, University of MarylandVerified email at umiacs.umd.edu
Jason EisnerProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Mohit IyyerAssociate Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
Esin DurmusAnthropicVerified email at stanford.edu
Yanda ChenColumbia UniversityVerified email at columbia.edu
Abulhair SaparovAssistant Professor, Purdue UniversityVerified email at purdue.edu
Anusha BalakrishnanMember of Technical Staff, Inflection AIVerified email at cs.stanford.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Scott Wen-tau YihMeta FAIRVerified email at meta.com
Mark YatskarUniversity of PennsylvaniaVerified email at cis.upenn.edu
Mona DiabProfessor & Director of Language Technologies Institute, Carnegie Mellon University, ACL FellowVerified email at andrew.cmu.edu
Kathleen McKeownProfessor of Computer Science and Director, Data Science Institute, Columbia UniversityVerified email at cs.columbia.edu
Robin JiaUniversity of Southern CaliforniaVerified email at usc.edu
Shi FengThe George Washington UniversityVerified email at gwu.edu

He He

New York University

Verified email at cs.nyu.edu - Homepage

Machine Learning Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
QuAC: Question answering in context E Choi, H He, M Iyyer, M Yatskar, W Yih, Y Choi, P Liang, L Zettlemoyer arXiv preprint arXiv:1808.07036, 2018	926	2018
Delete, retrieve, generate: a simple approach to sentiment and style transfer J Li, R Jia, H He, P Liang arXiv preprint arXiv:1804.06437, 2018	618	2018
FEQA: A question answering evaluation framework for faithfulness assessment in abstractive summarization E Durmus, H He, M Diab arXiv preprint arXiv:2005.03754, 2020	403	2020
Single image super-resolution using Gaussian process regression H He, WC Siu CVPR 2011, 449-456, 2011	388	2011
Sharp nearby, fuzzy far away: How neural language models use context U Khandelwal, H He, P Qi, D Jurafsky arXiv preprint arXiv:1805.04623, 2018	381	2018
Opponent modeling in deep reinforcement learning H He, J Boyd-Graber, K Kwok, H Daumé III International conference on machine learning, 1804-1813, 2016	368	2016
Learning to search in branch and bound algorithms H He, H Daume III, JM Eisner Advances in neural information processing systems 27, 2014	291	2014
Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings H He, A Balakrishnan, M Eric, P Liang Association for Computational Linguistics (ACL), 2017	258	2017
Gluoncv and gluonnlp: Deep learning in computer vision and natural language processing J Guo, H He, T He, L Lausen, M Li, H Lin, X Shi, C Wang, J Xie, S Zha, ... Journal of Machine Learning Research 21 (23), 1-7, 2020	225	2020
Unlearn dataset bias in natural language inference by fitting the residual H He, S Zha, H Wang arXiv preprint arXiv:1908.10763, 2019	196	2019
Solving olympiad geometry without human demonstrations TH Trinh, Y Wu, QV Le, H He, T Luong Nature 625 (7995), 476-482, 2024	192	2024
An empirical study on robustness to spurious correlations using pre-trained language models L Tu, G Lalwani, S Gella, H He Transactions of the Association for Computational Linguistics 8, 621-633, 2020	176	2020
Decoupling strategy and generation in negotiation dialogues H He, D Chen, A Balakrishnan, P Liang arXiv preprint arXiv:1808.09637, 2018	171	2018
Language models are greedy reasoners: A systematic formal analysis of chain-of-thought A Saparov, H He arXiv preprint arXiv:2210.01240, 2022	162	2022
Imitation learning by coaching H He, J Eisner, H Daume Advances in neural information processing systems 25, 2012	127	2012
Meta-learning via language model in-context tuning Y Chen, R Zhong, S Zha, G Karypis, H He arXiv preprint arXiv:2110.07814, 2021	120	2021
Don’t until the final verb wait: Reinforcement learning for simultaneous machine translation A Grissom II, H He, J Boyd-Graber, J Morgan, H Daumé III Proceedings of the 2014 Conference on empirical methods in natural language …, 2014	115	2014
QuALITY: Question Answering with Long Input Texts, Yes! SR Bowman, A Chen, H He, N Joshi, J Ma, N Nangia, V Padmakumar, ... NAACL 2022, 2022	98*	2022
Types of out-of-distribution texts and how to detect them U Arora, W Huang, H He arXiv preprint arXiv:2109.06827, 2021	89	2021
Text generation by learning from demonstrations RY Pang, H He arXiv preprint arXiv:2009.07839, 2020	86	2020

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