Chitta Baral

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Tran Cao SonProfessor of Computer Science, New Mexico State UniversityVerified email at nmsu.edu
Yezhou (YZ) YangSchool of Computing and AI, Arizona State UniversityVerified email at asu.edu
Swaroop MishraResearch Scientist, Google DeepMindVerified email at google.com
Pratyay BanerjeeSenior Applied Scientist, Amazon AGIVerified email at amazon.com
Tejas GokhaleAssistant Professor, University of Maryland Baltimore CountyVerified email at asu.edu
Michael GelfondProfessor of Computer Science, Texas Tech UniversityVerified email at ttu.edu
Luis TariUpToDate, Wolters Kluwer HealthVerified email at asu.edu
Neeraj VarshneyApplied Scientist at AmazonVerified email at asu.edu
Graciela Gonzalez-HernandezDep. of Computational Biomedicine, Cedars-Sinai Medical CenterVerified email at cshs.org
Arindam MitraSenior Researcher, Microsoft ResearchVerified email at asu.edu
Man LuoArizona State UniversityVerified email at asu.edu
Vladik KreinovichProfessor of Computer Science, University of Texas at El PasoVerified email at utep.edu
Mihir ParmarPhD Student, Arizona State University (ASU)Verified email at asu.edu
Jorge LoboICREA - Universitat Pompeu FabraVerified email at upf.edu
Enrico PontelliNew Mexico State UniversityVerified email at cs.nmsu.edu
Somak AdityaAssistant Professor, IIT KharagpurVerified email at cse.iitkgp.ac.in
Nguyen Ha VoGoogle ResearchVerified email at google.com
Jörg HakenbergIllumina, Inc.Verified email at illumina.com
Gregory GelfondUniversity of Dayton Research InstituteVerified email at fastmail.com
Kuntal Kumar PalJP Morgan ChaseVerified email at asu.edu

Chitta Baral

Professor of Computer Science, Arizona State University

Verified email at asu.edu - Homepage

Knowledge Representation NLP Vision Robotics Integrated Systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Knowledge representation, reasoning and declarative problem solving C Baral Cambridge university press, 2003	2072	2003
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	1309	2022
Cross-task generalization via natural language crowdsourcing instructions S Mishra, D Khashabi, C Baral, H Hajishirzi arXiv preprint arXiv:2104.08773, 2021	701	2021
Logic programming and knowledge representation C Baral, M Gelfond The Journal of Logic Programming 19, 73-148, 1994	664	1994
Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Naik, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022	651*	2022
Probabilistic reasoning with answer sets C Baral, M Gelfond, N Rushton Theory and Practice of Logic Programming 9 (1), 57-144, 2009	413*	2009
COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES C Baral, S Kraus, J Minker, VS Subrahmanian Computational intelligence 8 (1), 45-71, 1992	330	1992
Combining multiple knowledge bases C Baral, S Kraus, J Minker IEEE transactions on knowledge and data engineering 3 (2), 208-220, 1991	304	1991
Reasoning agents in dynamic domains C Baral, M Gelfond Logic-based artificial intelligence, 257-279, 2000	246	2000
What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution J Dzifcak, M Scheutz, C Baral, P Schermerhorn 2009 IEEE International Conference on Robotics and Automation, 4163-4168, 2009	238	2009
Discovering drug–drug interactions: a text-mining and reasoning approach based on properties of drug metabolism L Tari, S Anwar, S Liang, J Cai, C Baral Bioinformatics 26 (18), i547-i553, 2010	230	2010
Reframing instructional prompts to gptk's language S Mishra, D Khashabi, C Baral, Y Choi, H Hajishirzi arXiv preprint arXiv:2109.07830, 2021	209	2021
Language-conditioned imitation learning for robot manipulation tasks S Stepputtis, J Campbell, M Phielipp, S Lee, C Baral, H Ben Amor Advances in Neural Information Processing Systems 33, 13139-13150, 2020	205	2020
Representing actions: Laws, observations and hypotheses C Baral, M Gelfond, A Provetti The Journal of Logic Programming 31 (1-3), 201-243, 1997	204	1997
Computational complexity of planning and approximate planning in the presence of incompleteness C Baral, V Kreinovich, R Trejo Artificial Intelligence 122 (1-2), 241-267, 2000	203	2000
Formalizing sensing actions—A transition function based approach TC Son, C Baral Artificial Intelligence 125 (1-2), 19-91, 2001	197	2001
Mutant: A training paradigm for out-of-distribution generalization in visual question answering T Gokhale, P Banerjee, C Baral, Y Yang arXiv preprint arXiv:2009.08566, 2020	164	2020
Learning to use formulas to solve simple arithmetic problems A Mitra, C Baral Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016	155	2016
Dualities between alternative semantics for logic programming and nonmonotonic reasoning CR Baral, VS Subrahmanian Journal of Automated Reasoning 10, 399-420, 1993	146	1993
Fuzzy c-means clustering with prior biological knowledge L Tari, C Baral, S Kim Journal of biomedical informatics 42 (1), 74-81, 2009	139	2009

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