World's Best Scientists 2026 revealed!

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Computer Science

D-Index
49
Citations
10671
World Ranking
5847
National Ranking
2654

Overview

Chitta Baral is affiliated with Arizona State University in the United States and specializes in computer science, with a focus on artificial intelligence. Their research output includes 378 publications in computer science, covering key subfields such as artificial intelligence, computer vision and pattern recognition, information systems, health informatics, and molecular biology.

Their work addresses multiple topics within artificial intelligence, with notable focus areas including topic modeling, natural language processing techniques, and multimodal machine learning applications. Other subjects covered in their research are domain adaptation and few-shot learning, advanced image and video retrieval techniques, semantic web and ontologies, and explainable artificial intelligence (XAI).

Chitta Baral's recent papers include:

  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, 2022, arXiv (Cornell University)
  • Cross-Task Generalization via Natural Language Crowdsourcing Instructions, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Reframing Instructional Prompts to GPTk's Language, 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Frequent co-authors collaborating with Chitta Baral include:

  • Swaroop Mishra
  • Tejas Gokhale
  • Neeraj Varshney
  • Yezhou Yang
  • Pratyay Banerjee

Their publications appear mainly in the following venues:

  • arXiv (Cornell University)
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Journal of Clinical Oncology

Regarding book publications, Chitta Baral has contributed to works published by Springer Nature and Morgan & Claypool Publishers. These include Neuro Symbolic Reasoning and Learning (2023) and Advances in Multimodal Information Retrieval and Generation (2024).

Best Publications

  • Knowledge representation, reasoning and declarative problem solving

    Chitta Baral

  • Logic programming and knowledge representation

    Chitta Baral;Michael Gelfond

  • Probabilistic reasoning with answer sets

    Chitta Baral;Michael Gelfond;Nelson Rushton

  • COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES

    Chitta Baral;Sarit Kraus;Jack Minker;V. S. Subrahmanian

  • Combining multiple knowledge bases

    C. Baral;S. Kraus;J. Minker

  • Discovering drug–drug interactions

    Luis Tari;Saadat Anwar;Shanshan Liang;James Cai

  • Cross-Task Generalization via Natural Language Crowdsourcing Instructions

    Swaroop Mishra;Daniel Khashabi;Chitta Baral;Hannaneh Hajishirzi

  • Reasoning agents in dynamic domains

    Chitta Baral;Michael Gelfond

  • What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution

    Juraj Dzifcak;Matthias Scheutz;Chitta Baral;Paul Schermerhorn

  • Representing actions: Laws, observations and hypotheses

    Chitta Baral;Michael Gelfond;Alessandro Provetti

  • Computational complexity of planning and approximate planning in the presence of incompleteness

    Chitta Baral;Vladik Kreinovich;Raúl Trejo

  • Formalizing sensing actions—a transition function based approach

    Tran Cao Son;Chitta Baral

  • Fuzzy c-means clustering with prior biological knowledge

    Luis Tari;Chitta Baral;Seungchan Kim

  • Dualities between alternative semantics for logic programming and nonmonotonic reasoning

    Chitta R. Baral;V. S. Subrahmanian

  • MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

    Tejas Gokhale;Pratyay Banerjee;Chitta Baral;Yezhou Yang

  • Learning to use formulas to solve simple arithmetic problems

    Arindam Mitra;Chitta Baral

  • Stable and extension class theory for logic programs and default logics

    Chitta R. Baral;V. S. Subrahmanian

  • Representing concurrent actions in extended logic programming

    Chitta Baral;Michael Gelfond

  • A knowledge based approach for representing and reasoning about signaling networks

    C. Baral;K. Chancellor;N. Tran;N.L. Tran

  • Reframing Instructional Prompts to GPTk's Language.

    Swaroop Mishra;Daniel Khashabi;Chitta Baral;Yejin Choi

  • Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness

    Chitta Baral;Vladik Kreinovich;Raul Trejo

Frequent Co-Authors

Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Michael Gelfond
Michael Gelfond Texas Tech University
Jorge Lobo
Jorge Lobo Pompeu Fabra University
Jack Minker
Jack Minker University of Maryland, College Park
Sheila A. McIlraith
Sheila A. McIlraith University of Toronto
Yiannis Aloimonos
Yiannis Aloimonos University of Maryland, College Park
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Sarit Kraus
Sarit Kraus Bar-Ilan University
Gerhard Brewka
Gerhard Brewka Leipzig University

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