| Knowledge representation, reasoning and declarative problem solving C Baral Cambridge university press, 2003 | 2088 | 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 | 1450 | 2022 |
| Cross-task generalization via natural language crowdsourcing instructions S Mishra, D Khashabi, C Baral, H Hajishirzi arXiv preprint arXiv:2104.08773, 2021 | 726 | 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 | 676* | 2022 |
| Logic programming and knowledge representation C Baral, M Gelfond The Journal of Logic Programming 19, 73-148, 1994 | 667 | 1994 |
| Probabilistic reasoning with answer sets C Baral, M Gelfond, N Rushton Theory and Practice of Logic Programming 9 (1), 57-144, 2009 | 416* | 2009 |
| COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES C Baral, S Kraus, J Minker, VS Subrahmanian Computational intelligence 8 (1), 45-71, 1992 | 334 | 1992 |
| Combining multiple knowledge bases C Baral, S Kraus, J Minker IEEE transactions on knowledge and data engineering 3 (2), 208-220, 1991 | 305 | 1991 |
| Reasoning agents in dynamic domains C Baral, M Gelfond Logic-based artificial intelligence, 257-279, 2000 | 247 | 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 | 242 | 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 | 227 | 2010 |
| 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 | 214 | 2020 |
| Reframing instructional prompts to gptk's language S Mishra, D Khashabi, C Baral, Y Choi, H Hajishirzi arXiv preprint arXiv:2109.07830, 2021 | 208 | 2021 |
| 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 | 208 | 2000 |
| 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 |
| Formalizing sensing actions—A transition function based approach TC Son, C Baral Artificial Intelligence 125 (1-2), 19-91, 2001 | 195 | 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 | 153 | 2016 |
| Dualities between alternative semantics for logic programming and nonmonotonic reasoning CR Baral, VS Subrahmanian Journal of Automated Reasoning 10, 399-420, 1993 | 147 | 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 |
Tran Cao SonProfessor of Computer Science, New Mexico State University在 nmsu.edu 的電子郵件地址已通過驗證
