Record link: 
http://hdl.handle.net/20.500.12708/194133
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Title: 
Mathematical Capabilities of ChatGPT
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Citation: 
Frieder, S., Pinchetti, L., Chevalier, A., Griffiths, R.-R., Salvatori, T., Lukasiewicz, T., Petersen, P., & Berner, J. (2023). Mathematical Capabilities of ChatGPT. In Advances in Neural Information Processing Systems 36 pre-proceedings (NeurIPS 2023). 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, United States of America (the). http://hdl.handle.net/20.500.12708/194133
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Frieder, Simon 
Pinchetti, Luca 
Chevalier, Alexis 
Griffiths, Ryan-Rhys 
Salvatori, Tommaso 
Lukasiewicz, Thomas 
Petersen, Philipp 
Berner, Julius 
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Organisational Unit: 
E192-07 - Forschungsbereich Artificial Intelligence Techniques 
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Published in: 
Advances in Neural Information Processing Systems 36 pre-proceedings (NeurIPS 2023) 
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Date (published): 
2023
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Event name: 
37th Conference on Neural Information Processing Systems (NeurIPS 2023) 
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Event date: 
10-Dec-2023 - 16-Dec-2023
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Event place: 
New Orleans, United States of America (the)
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Number of Pages: 
46
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Peer reviewed: 
Yes
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Keywords: 
ChatGPT; large language models; mathematics
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Research Areas: 
Logic and Computation: 20%
Information Systems Engineering: 80%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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