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
Michael GelfondProfessor of Computer Science, Texas Tech UniversityVerified email at ttu.edu
Pratyay BanerjeeAmazon AGIVerified email at amazon.com
Luis TariUpToDate, Wolters Kluwer HealthVerified email at asu.edu
Graciela Gonzalez-HernandezDep. of Computational Biomedicine, Cedars-Sinai Medical CenterVerified email at cshs.org
Tejas GokhaleUniversity of Maryland Baltimore CountyVerified email at asu.edu
Arindam MitraSenior Researcher, Microsoft ResearchVerified email at asu.edu
Vladik KreinovichProfessor of Computer Science, University of Texas at El PasoVerified email at utep.edu
Neeraj Varshney5th year PhD Candidate at ASUVerified email at asu.edu
Jorge LoboICREA - Universitat Pompeu FabraVerified email at upf.edu
Enrico PontelliNew Mexico State UniversityVerified email at cs.nmsu.edu
Man LuoArizona State UniversityVerified email at asu.edu
Somak AdityaAssistant Professor, IIT KharagpurVerified email at cse.iitkgp.ac.in
Mihir ParmarPhD Student, Arizona State University (ASU)Verified email at asu.edu
Kuntal Kumar PalJP Morgan ChaseVerified email at asu.edu
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

Chitta Baral

Professor of Computer Science, Arizona State University

Verified email at asu.edu - Homepage

Knowledge Representation NLP Vision Robotics Integrated Systems


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Knowledge representation, reasoning and declarative problem solving C Baral Cambridge university press, 2003	2018	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	760	2022
Logic programming and knowledge representation C Baral, M Gelfond The Journal of Logic Programming 19, 73-148, 1994	650	1994
Cross-task generalization via natural language crowdsourcing instructions S Mishra, D Khashabi, C Baral, H Hajishirzi arXiv preprint arXiv:2104.08773, 2021	478	2021
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	396*	2022
Probabilistic reasoning with answer sets C Baral, M Gelfond, N Rushton Theory and Practice of Logic Programming 9 (1), 57-144, 2009	391*	2009
COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES C Baral, S Kraus, J Minker, VS Subrahmanian Computational intelligence 8 (1), 45-71, 1992	324	1992
Combining multiple knowledge bases C Baral, S Kraus, J Minker IEEE transactions on knowledge and data engineering 3 (2), 208-220, 1991	301	1991
Reasoning agents in dynamic domains C Baral, M Gelfond Logic-based artificial intelligence, 257-279, 2000	243	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	231	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	218	2010
Representing actions: Laws, observations and hypotheses C Baral, M Gelfond, A Provetti The Journal of Logic Programming 31 (1-3), 201-243, 1997	200	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	198	2000
Formalizing sensing actions—A transition function based approach TC Son, C Baral Artificial Intelligence 125 (1-2), 19-91, 2001	197	2001
Reframing Instructional Prompts to GPTk's Language S Mishra, D Khashabi, C Baral, Y Choi, H Hajishirzi arXiv preprint arXiv:2109.07830, 2021	163	2021
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	143	2016
Dualities between alternative semantics for logic programming and nonmonotonic reasoning CR Baral, VS Subrahmanian Journal of Automated Reasoning 10, 399-420, 1993	143	1993
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	138	2020
Fuzzy c-means clustering with prior biological knowledge L Tari, C Baral, S Kim Journal of biomedical informatics 42 (1), 74-81, 2009	136	2009
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	128	2020

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