Mathematical Capabilities of ChatGPT
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Abstract
We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023 and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, as well as hand-crafted ones, using a novel methodology. In contrast to formal mathematics, where large databases of formal proofs are available (e.g., the Lean Mathematical Library), current datasets of natural-language mathematics, used to benchmark language models, either cover only elementary mathematics or are very small. We address this by publicly releasing two new datasets: GHOSTS and miniGHOSTS. These are the first natural-language datasets curated by working researchers in mathematics that (1) aim to cover graduate-level…
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8Topics & keywords
Topics
Keywords
- Mathematical proof
- Benchmark (surveying)
- Computer science
- Cover (algebra)
- Range (aeronautics)
- Base (topology)
- Mathematical practice
- Interface (matter)
UN Sustainable Development Goals
- Quality Education
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