Research output per year
Research output per year
Organisation profile
Organisation profile
The Reasoning and Planning (RAP) group focuses on the fundamental Artificial Intelligence challenge of creating, representing and reasoning with expressive models of the world, with particular strengths in dealing with complex systems and in reasoning with information that is uncertain, incomplete or subjective. Research within the RAP group considers both individual and multi-entity reasoning and planning, which may involve humans as well as AI systems.
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Collaborations and top research areas from the last five years
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Profiles
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Elizabeth Black
- Trusted Autonomous Systems Hub
- Informatics - Professor of Artificial Intelligence
- Reasoning and Planning
Person: Member, Academic
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Oana Cocarascu
- Informatics - Senior Lecturer in Artificial Intelligence
- Planning
- Reasoning and Planning
Person: Member, Academic
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Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
Akhtar, M., Shankarampeta, A., Gupta, V., Patil, A., Cocarascu, O. & Simperl, E., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 15391-15405 15 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access3 Citations (Scopus) -
Multimodal Automated Fact-Checking: A Survey
Akhtar, M., Schlichtkrull, M., Guo, Z., Cocarascu, O., Simperl, E. & Vlachos, A., 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 5430-5448 19 p. (Findings of the Association for Computational Linguistics: EMNLP 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access2 Citations (Scopus) -
PubHealthTab: A Public Health Table-based Dataset for Evidence-based Fact Checking
Akhtar, M., Cocarascu, O. & Simperl, E., 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 1-16 16 p. (Findings of the Association for Computational Linguistics: NAACL 2022 - Findings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review