Srini Iyer

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Citations	6523	4984
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Paea LePenduUniversity of California, RiversideVerified email at ucr.edu
Luke ZettlemoyerUniversity of Washington; MetaVerified email at cs.washington.edu
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
Ioannis KonstasHeriot-Watt UniversityVerified email at hw.ac.uk
Rave HarpazArchitect/Applied Scientist of AI - Oracle Cloud InfrastructureVerified email at oracle.com
Yi Liu, PhD.TeslaVerified email at stanford.edu
Jonathan MortensenGraduate Student, Stanford UniversityVerified email at stanford.edu
Jayant KrishnamurthyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Mark YatskarUniversity of PennsylvaniaVerified email at cis.upenn.edu
Alane SuhrUC BerkeleyVerified email at berkeley.edu
Bethany PerchaNew York Presbyterian, Mount SinaiVerified email at mssm.edu
Cédrick FaironProfessor of linguistics and Natural Language Processing, Université catholique de LouvainVerified email at uclouvain.be
Sandy H HuangResearch Scientist, DeepMindVerified email at berkeley.edu
Yoav ArtziCornell University; ASAPPVerified email at cs.cornell.edu
Tyler S. Cole, MDNeurosurgeon, Assistant Professor of Neurosurgery at Cedars-Sinai | Stanford Medical SchoolVerified email at cshs.org
Joel DudleyInstitute Director and Associate Professor, Icahn School of Medicine at Mount SinaiVerified email at mssm.edu
Svetlana LyalinaBioinformatics PhD, UCSFVerified email at gladstone.ucsf.edu
Jennifer FrankovichAssociate Professor of Pediatrics, Stanford UniversityVerified email at stanford.edu
Madeleine UdellAssistant Professor, Management Science and Engineering, Stanford UniversityVerified email at stanford.edu

Srini Iyer

FAIR

Verified email at fb.com - Homepage

Language Modeling NL to Code QA Explainability Summarization


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Summarizing source code using a neural attention model S Iyer, I Konstas, A Cheung, L Zettlemoyer Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	890	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, 2024	877	2024
Proton pump inhibitor usage and the risk of myocardial infarction in the general population NH Shah, P LePendu, A Bauer-Mehren, YT Ghebremariam, SV Iyer, ... PloS one 10 (6), e0124653, 2015	436	2015
Learning a neural semantic parser from user feedback S Iyer, I Konstas, A Cheung, J Krishnamurthy, L Zettlemoyer arXiv preprint arXiv:1704.08760, 2017	416	2017
Neural amr: Sequence-to-sequence models for parsing and generation I Konstas, S Iyer, M Yatskar, Y Choi, L Zettlemoyer arXiv preprint arXiv:1704.08381, 2017	370	2017
Mapping language to code in programmatic context S Iyer, I Konstas, A Cheung, L Zettlemoyer arXiv preprint arXiv:1808.09588, 2018	261	2018
Opt-iml: Scaling language model instruction meta learning through the lens of generalization S Iyer, XV Lin, R Pasunuru, T Mihaylov, D Simig, P Yu, K Shuster, T Wang, ... arXiv preprint arXiv:2212.12017, 2022	215*	2022
Mining clinical text for signals of adverse drug-drug interactions SV Iyer, R Harpaz, P LePendu, A Bauer-Mehren, NH Shah Journal of the American Medical Informatics Association 21 (2), 353-362, 2014	214	2014
Pharmacovigilance using clinical notes P LePendu, SV Iyer, A Bauer‐Mehren, R Harpaz, JM Mortensen, ... Clinical pharmacology & therapeutics 93 (6), 547-555, 2013	192	2013
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	179	2023
Efficient large scale language modeling with mixtures of experts M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, XV Lin, J Du, ... arXiv preprint arXiv:2112.10684, 2021	167*	2021
Demystifying prompts in language models via perplexity estimation H Gonen, S Iyer, T Blevins, NA Smith, L Zettlemoyer arXiv preprint arXiv:2212.04037, 2022	163	2022
Efficient one-pass end-to-end entity linking for questions BZ Li, S Min, S Iyer, Y Mehdad, W Yih arXiv preprint arXiv:2010.02413, 2020	145	2020
Delight: Deep and light-weight transformer S Mehta, M Ghazvininejad, S Iyer, L Zettlemoyer, H Hajishirzi arXiv preprint arXiv:2008.00623, 2020	143	2020
Toward personalizing treatment for depression: predicting diagnosis and severity SH Huang, P LePendu, SV Iyer, M Tai-Seale, D Carrell, NH Shah Journal of the American Medical Informatics Association 21 (6), 1069-1075, 2014	141	2014
Chameleon: Mixed-modal early-fusion foundation models C Team arXiv preprint arXiv:2405.09818, 2024	133	2024
Methods for measuring, updating, and visualizing factual beliefs in language models P Hase, M Diab, A Celikyilmaz, X Li, Z Kozareva, V Stoyanov, M Bansal, ... Proceedings of the 17th Conference of the European Chapter of the …, 2023	118*	2023
Learning to map context-dependent sentences to executable formal queries A Suhr, S Iyer, Y Artzi arXiv preprint arXiv:1804.06868, 2018	115	2018
Annotation analysis for testing drug safety signals using unstructured clinical notes P LePendu, SV Iyer, C Fairon, NH Shah Journal of biomedical semantics 3, 1-12, 2012	109	2012
Answering complex open-domain questions with multi-hop dense retrieval W Xiong, XL Li, S Iyer, J Du, P Lewis, WY Wang, Y Mehdad, W Yih, ... arXiv preprint arXiv:2009.12756, 2020	96*	2020

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