Chandra Bhagavatula

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Yejin ChoiStanford University / NVIDIAAdresse e-mail validée de stanford.edu
Ronan Le BrasAllen Institute for Artificial IntelligenceAdresse e-mail validée de allenai.org
Jena D. HwangAllen Institute for AIAdresse e-mail validée de allenai.org
Ximing LuUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Doug DowneyAllen Institute for AI and Northwestern UniversityAdresse e-mail validée de eecs.northwestern.edu
Keisuke SakaguchiTohoku UniversityAdresse e-mail validée de tohoku.ac.jp
Maarten SapCarnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Antoine BosselutEPFLAdresse e-mail validée de epfl.ch
Bill Yuchen LinAffiliate Assistant Professor, University of WashingtonAdresse e-mail validée de uw.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceAdresse e-mail validée de cs.washington.edu
Liwei JiangPhD Student, Paul G. Allen School of Computer Science & Engineering, University of WashingtonAdresse e-mail validée de cs.washington.edu
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaAdresse e-mail validée de usc.edu
Waleed AmmarGoogleAdresse e-mail validée de google.com
Matthew E PetersSpiffy AI, Allen Institute for Artificial IntelligenceAdresse e-mail validée de allenai.org
Swabha SwayamdiptaUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
Nouha DziriAllen Institute for AI (Ai2)Adresse e-mail validée de allenai.org
Chaitanya MalaviyaUniversity of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Thanapon NorasetMahidol UniversityAdresse e-mail validée de mahidol.edu
Russell PowerNew York UniversityAdresse e-mail validée de cs.nyu.edu
Vered ShwartzUniversity of British ColumbiaAdresse e-mail validée de cs.ubc.ca

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Chandra Bhagavatula

Allen Institute for Artificial Intelligence

Adresse e-mail validée de allenai.org - Page d'accueil

Natural language processing Commonsense Reasoning Information Extraction Artificial Intelligence Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
WINOGRANDE: An adversarial winograd schema challenge at scale K Sakaguchi, RL Bras, C Bhagavatula, Y Choi Proceedings of the AAAI Conference on Artificial Intelligence 2020, 2020	1537	2020
Atomic: An atlas of machine commonsense for if-then reasoning M Sap, R Le Bras, E Allaway, C Bhagavatula, N Lourie, H Rashkin, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 3027-3035, 2019	1059	2019
Semi-supervised sequence tagging with bidirectional language models ME Peters, W Ammar, C Bhagavatula, R Power Annual Conference of the Association for Computational Linguistics, 2017	905	2017
Construction of the literature graph in semantic scholar W Ammar, D Groeneveld, C Bhagavatula, I Beltagy, M Crawford, ... NAACL HLT (Industry Papers), 2018	520	2018
Cosmos QA: Machine reading comprehension with contextual commonsense reasoning L Huang, RL Bras, C Bhagavatula, Y Choi EMNLP 2019, 2019	460	2019
Abductive commonsense reasoning C Bhagavatula, RL Bras, C Malaviya, K Sakaguchi, A Holtzman, ... International Conference on Learning Representations 2020, 2020	449	2020
(comet-) atomic 2020: On symbolic and neural commonsense knowledge graphs JD Hwang, C Bhagavatula, R Le Bras, J Da, K Sakaguchi, A Bosselut, ... Proceedings of the AAAI conference on artificial intelligence 35 (7), 6384-6392, 2021	442	2021
CommonGen: A constrained text generation challenge for generative commonsense reasoning BY Lin, W Zhou, M Shen, P Zhou, C Bhagavatula, Y Choi, X Ren arXiv preprint arXiv:1911.03705, 2019	375	2019
DExperts: Decoding-time controlled text generation with experts and anti-experts A Liu, M Sap, X Lu, S Swayamdipta, C Bhagavatula, NA Smith, Y Choi arXiv preprint arXiv:2105.03023, 2021	350	2021
Faith and fate: Limits of transformers on compositionality N Dziri, X Lu, M Sclar, XL Li, L Jiang, BY Lin, S Welleck, P West, ... Advances in Neural Information Processing Systems 36, 2024	321	2024
Symbolic knowledge distillation: from general language models to commonsense models P West, C Bhagavatula, J Hessel, JD Hwang, L Jiang, RL Bras, X Lu, ... arXiv preprint arXiv:2110.07178, 2021	309	2021
Unsupervised commonsense question answering with self-talk V Shwartz, P West, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:2004.05483, 2020	271	2020
Tabel: Entity linking in web tables CS Bhagavatula, T Noraset, D Downey International Semantic Web Conference, 425-441, 2015	253	2015
Adversarial Filters of Dataset Biases RL Bras, S Swayamdipta, C Bhagavatula, R Zellers, ME Peters, ... ICML, 2020	235*	2020
Content-based citation recommendation C Bhagavatula, S Feldman, R Power, W Ammar Proceedings of the 2018 Conference of the North {A}merican Chapter of the …, 2018	225	2018
Generative data augmentation for commonsense reasoning Y Yang, C Malaviya, J Fernandez, S Swayamdipta, RL Bras, JP Wang, ... arXiv preprint arXiv:2004.11546, 2020	223	2020
Commonsense Knowledge Base Completion with Structural and Semantic Context C Malaviya, C Bhagavatula, A Bosselut, Y Choi AAAI 2020, 2019	168*	2019
Counterfactual Story Reasoning and Generation L Qin, A Bosselut, A Holtzman, C Bhagavatula, E Clark, Y Choi EMNLP 2019, 2019	150	2019
Neurologic decoding:(un) supervised neural text generation with predicate logic constraints X Lu, P West, R Zellers, RL Bras, C Bhagavatula, Y Choi arXiv preprint arXiv:2010.12884, 2020	141	2020
Methods for exploring and mining tables on wikipedia CS Bhagavatula, T Noraset, D Downey Proceedings of the ACM SIGKDD workshop on interactive data exploration and …, 2013	140	2013

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