Shashank Srivastava

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Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Sayan GhoshUniversity of North Carolina at Chapel HillVerified email at cs.unc.edu
Snigdha ChaturvediAssociate Professor, University of North Carolina, Chapel HillVerified email at cs.unc.edu
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
Rakesh R MenonUniversity of North Carolina, Chapel-HillVerified email at cs.unc.edu
Igor LabutovCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Mrinmaya SachanAssistant Professor, ETH ZürichVerified email at inf.ethz.ch
Sujay Kumar JauharPrincipal Researcher, Microsoft ResearchVerified email at microsoft.com
KARTIK GOYALGeorgia Institute of TechnologyVerified email at gatech.edu
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Dirk HovyBocconi UniversityVerified email at unibocconi.it
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
Colin RaffelUniversity of Toronto, Vector Institute and Hugging FaceVerified email at cs.toronto.edu
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Swarnadeep SahaResearch Scientist, FAIR at MetaVerified email at meta.com
Amos AzariaComputer Science Dpt. Ariel University, IsraelVerified email at ariel.ac.il
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UVerified email at cs.cmu.edu
Kumar Avinava DubeyGoogle ResearchVerified email at google.com
Derry Tanti WijayaBoston University, Monash University IndonesiaVerified email at monash.edu
Abulhair SaparovAssistant Professor, Purdue UniversityVerified email at purdue.edu

Shashank Srivastava

UNC Chapel Hill

Verified email at cs.unc.edu - Homepage


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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022	984	2022
Improving and simplifying pattern exploiting training D Tam, RR Menon, M Bansal, S Srivastava, C Raffel arXiv preprint arXiv:2103.11955, 2021	145	2021
Identifying metaphorical word use with tree kernels D Hovy, S Srivastava, SK Jauhar, M Sachan, K Goyal, L Huiying, ... Proceedings of the First Workshop on Metaphor in NLP, 2013	107	2013
Joint concept learning and semantic parsing from natural language explanations S Srivastava, I Labutov, T Mitchell Proceedings of the 2017 conference on empirical methods in natural language …, 2017	99	2017
PRover: Proof generation for interpretable reasoning over rules S Saha, S Ghosh, S Srivastava, M Bansal arXiv preprint arXiv:2010.02830, 2020	81	2020
Zero-shot learning of classifiers from natural language quantification S Srivastava, I Labutov, T Mitchell Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018	72	2018
Inferring interpersonal relations in narrative summaries S Srivastava, S Chaturvedi, T Mitchell Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	68	2016
Modeling evolving relationships between characters in literary novels S Chaturvedi, S Srivastava, H Daume III, C Dyer Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	53	2016
A walk-based semantically enriched tree kernel over distributed word representations S Srivastava, D Hovy, E Hovy Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013	40	2013
Identifying and manipulating the personality traits of language models G Caron, S Srivastava arXiv preprint arXiv:2212.10276, 2022	29	2022
Spatial compactness meets topical consistency: Jointly modeling links and content for community detection M Sachan, A Dubey, S Srivastava, EP Xing, E Hovy Proceedings of the 7th ACM international conference on Web search and data …, 2014	29	2014
A structured distributional semantic model for event co-reference K Goyal, SK Jauhar, H Li, M Sachan, S Srivastava, E Hovy Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	26	2013
Where have i heard this story before? identifying narrative similarity in movie remakes S Chaturvedi, S Srivastava, D Roth Proceedings of the 2018 Conference of the North American Chapter of the …, 2018	20	2018
LIA: A natural language programmable personal assistant I Labutov, S Srivastava, T Mitchell Proceedings of the 2018 conference on empirical methods in natural language …, 2018	17	2018
Predicting difficulty and discrimination of natural language questions M Byrd, S Srivastava Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022	14	2022
Adversarial scrubbing of demographic information for text classification SBR Chowdhury, S Ghosh, Y Li, JB Oliva, S Srivastava, S Chaturvedi arXiv preprint arXiv:2109.08613, 2021	14	2021
An agent for learning new natural language commands A Azaria, S Srivastava, J Krishnamurthy, I Labutov, TM Mitchell Autonomous Agents and Multi-Agent Systems 34 (1), 6, 2020	14	2020
ePiC: Employing proverbs in context as a benchmark for abstract language understanding S Ghosh, S Srivastava arXiv preprint arXiv:2109.06838, 2021	11	2021
Parsing Natural Language Conversations using Contextual Cues. S Srivastava, A Azaria, TM Mitchell IJCAI, 4089-4095, 2017	11	2017
How helpful is inverse reinforcement learning for table-to-text generation? S Ghosh, Z Qi, S Chaturvedi, S Srivastava Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021	10	2021

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