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Artificial intelligence (AI) has made remarkable progress across various domains, with large language models like ChatGPT gaining substantial attention for their human-like text-generation capabilities.
Qualitative spatial representation and reasoning: An overview
Cohn, A. G.; and Hazarika, S. M. 2001 · 2001
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Composing cardinal direction relations
Skiadopoulos, S.; and Koubarakis, M. 2001 · 2001
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Qualitative spatial representation and reasoning
Cohn, A. G.; and Renz, J. 2008 · 2008
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Spatial role labeling: Task definition and annotation scheme
Kordjamshidi, P.; Moens, M.-F.; and van Otterlo, M. 2010 · 2010
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Spatial role labeling: Towards extraction of spatial relations from natural language
Kordjamshidi, P.; Van Otterlo, M.; and Moens, M.-F. 2011 · 2011
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A survey of qualitative spatial representations
Chen, J.; Cohn, A. G.; Liu, D.; Wang, S.; Ouyang, J.; and Yu, Q. 2015 · 2015
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Towards ai-complete question answering: A set of prerequisite toy tasks
Weston, J.; Bordes, A.; Chopra, S.; Rush, A. M.; Van Merriënboer, B.; Joulin, A.; and Mikolov, T. 2015 · 2015
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On the opportunities and risks of foundation models
Bommasani, R.; Hudson, D. A.; Adeli, E.; Altman, R.; Arora, S.; von Arx, S.; Bernstein, M. S.; Bohg, J.; Bosselut, A.; Brunskill, E.; et al. 2021 · 2021
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SpartQA: A Textual Question Answering Benchmark for Spatial Reasoning
Mirzaee, R.; and Rajaby, H. 2021 · 2021
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Online perceptual learning and natural language acquisition for autonomous robots
Alomari, M.; Li, F.; Hogg, D. C.; and Cohn, A. G. 2022 · 2022
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Selection-inference: Exploiting large language models for interpretable logical reasoning
Creswell, A.; Shanahan, M.; and Higgins, I. 2022 · 2022
Cited alongside, same era.
Ontology Knowledge-enhanced In-Context Learning for Action-Effect Prediction
Li, F.; Hogg, D. C.; and Cohn, A. G. 2022 · 2022
Cited alongside, same era.
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning
Mirzaee, R.; and Kordjamshidi, P. 2022 · 2022
Cited alongside, same era.
Least-to-most prompting enables complex reasoning in large language models
Zhou, D.; Schärli, N.; Hou, L.; Wei, J.; Scales, N.; Wang, X.; Schuurmans, D.; Cui, C.; Bousquet, O.; Le, Q.; et al. 2022 · 2022
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Bang, Y.; Cahyawijaya, S.; Lee, N.; Dai, W.; Su, D.; Wilie, B.; Lovenia, H.; Ji, Z.; Yu, T.; Chung, W.; et al. 2023 · 2023
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Cohn, A. G.; and Hernandez-Orallo, J. 2023 · 2023
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OpenAI. 2023 · 2023
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Stepgame: A new benchmark for robust multi-hop spatial reasoning in texts
Shi, Z.; Zhang, Q.; and Lipani, A. 2022 · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Chi, E.; Le, Q.; and Zhou, D. 2022 · 2022
Cited alongside, same era.
Automatic chain of thought prompting in large language models
Zhang, Z.; Zhang, A.; Li, M.; and Smola, A. 2022 · 2022
Cited alongside, same era.
Wang, L.; Xu, W.; Lan, Y.; Hu, Z.; Lan, Y.; Lee, R. K.-W.; and Lim, E.-P. 2023 · 2023
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Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text
Yang, Z.; Ishay, A.; and Lee, J. 2023 · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Yao, S.; Yu, D.; Zhao, J.; Shafran, I.; Griffiths, T. L.; Cao, Y.; and Narasimhan, K. 2023 · 2023
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A comprehensive capability analysis of gpt-3 and gpt-3.5 series models
Ye, J.; Chen, X.; Xu, N.; Zu, C.; Shao, Z.; Liu, S.; Cui, Y.; Zhou, Z.; Gong, C.; Shen, Y.; et al. 2023 · 2023
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