Sida I. Wang

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Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Percy LiangAssociate Professor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Mike LewisFacebook AI ResearchVerified email at fb.com
Victor ZhongAssistant Professor at Cheriton School of Computer Science, University of WaterlooVerified email at victorzhong.com
Stefan WagerGraduate School of Business, Stanford UniversityVerified email at stanford.edu
Freda ShiAssistant Professor of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Yoav ArtziCornell University; ASAPPVerified email at cs.cornell.edu
Tao LeiGoogleVerified email at google.com
Geoffrey HintonEmeritus Prof. Computer Science, University of TorontoVerified email at cs.toronto.edu
Alex KrizhevskyUniversity of TorontoVerified email at cs.toronto.edu
Armen AghajanyanFacebook AI ResearchVerified email at fb.com
Yu ZhangOpenAIVerified email at csail.mit.edu
Marjan GhazvininejadResearch Scientist, FAIR (Facebook AI Research)Verified email at fb.com
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Jiwei LiShannon.AI, Zhejiang University, Stanford UniversityVerified email at stanford.edu
Ziang XieSapling.aiVerified email at cs.stanford.edu
Andrew NgStanford UniversityVerified email at cs.stanford.edu
Daniel CerResearch Scientist, Google ResearchVerified email at google.com
Karthik NarasimhanAssociate Professor, Princeton UniversityVerified email at princeton.edu

Sida I. Wang

Facebook AI

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Machine learning NLP


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Transforming auto-encoders GE Hinton, A Krizhevsky, SD Wang Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011	1807	2011
Baselines and bigrams: Simple, good sentiment and topic classification SI Wang, CD Manning Proceedings of the 50th Annual Meeting of the Association for Computational …, 2012	1784	2012
Dropout training as adaptive regularization S Wager, S Wang, PS Liang Advances in neural information processing systems 26, 2013	765	2013
Fast dropout training SI Wang, CD Manning International Conference on Machine Learning (ICML), 118-126, 2013	604	2013
Incoder: A generative model for code infilling and synthesis D Fried, A Aghajanyan, J Lin, S Wang, E Wallace, F Shi, R Zhong, W Yih, ... arXiv preprint arXiv:2204.05999, 2022	573	2022
Simple recurrent units for highly parallelizable recurrence T Lei, Y Zhang, SI Wang, H Dai, Y Artzi arXiv preprint arXiv:1709.02755, 2017	528*	2017
Data noising as smoothing in neural network language models Z Xie, SI Wang, J Li, D Lévy, A Nie, D Jurafsky, AY Ng International Conference on Learning Representations (ICLR), 2017	310	2017
Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... arXiv preprint arXiv:2201.05966, 2022	302*	2022
Learning Language Games through Interaction SI Wang, P Liang, CD Manning Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	197	2016
DS-1000: A natural and reliable benchmark for data science code generation Y Lai, C Li, Y Wang, T Zhang, R Zhong, L Zettlemoyer, W Yih, D Fried, ... International Conference on Machine Learning, 18319-18345, 2023	195	2023
Pre-training via paraphrasing M Lewis, M Ghazvininejad, G Ghosh, A Aghajanyan, S Wang, ... Advances in Neural Information Processing Systems 33, 18470-18481, 2020	164	2020
Lever: Learning to verify language-to-code generation with execution A Ni, S Iyer, D Radev, V Stoyanov, W Yih, S Wang, XV Lin International Conference on Machine Learning, 26106-26128, 2023	163	2023
Natural language to code translation with execution F Shi, D Fried, M Ghazvininejad, L Zettlemoyer, SI Wang arXiv preprint arXiv:2204.11454, 2022	97	2022
Grounded adaptation for zero-shot executable semantic parsing V Zhong, M Lewis, SI Wang, L Zettlemoyer arXiv preprint arXiv:2009.07396, 2020	92	2020
Human effort and machine learnability in computer aided translation S Green, SI Wang, J Chuang, J Heer, S Schuster, CD Manning Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014	90	2014
Naturalizing a programming language via interactive learning SI Wang, S Ginn, P Liang, CD Manning Proceedings of the Association for Computational Linguistics (ACL), 2017	87	2017
Coder reviewer reranking for code generation T Zhang, T Yu, T Hashimoto, M Lewis, W Yih, D Fried, S Wang International Conference on Machine Learning, 41832-41846, 2023	69	2023
Livecodebench: Holistic and contamination free evaluation of large language models for code KH Naman Jain, A Gu, WD Li, F Yan, T Zhang, S Wang, A Solar-Lezama, ... arXiv preprint arXiv:2403.07974, 2024	63	2024
Fast and adaptive online training of feature-rich translation models S Green, SI Wang, D Cer, CD Manning Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	60	2013
Altitude training: Strong bounds for single-layer dropout S Wager, W Fithian, S Wang, PS Liang Advances in Neural Information Processing Systems 27, 2014	58	2014

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