Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems

This report describes a test of the large language model GPT-4 with the Wolfram Alpha and the Code Interpreter plug-ins on 105 original problems in science and math, at the high school and college levels, carried out in June-August 2023. Our tests suggest that the plug-ins significantly enhance GPT's ability to solve these problems. Having said that, there are still often "interface" failures; that is, GPT often has trouble formulating problems in a way that elicits useful answers from the plug-ins. Fixing these interface failures seems like a central challenge in making GPT a reliable tool for college-level calculation problems.

@article{davis2025_2308.05713,
  title={ Testing GPT-4 with Wolfram Alpha and Code Interpreter plug-ins on math and science problems },
  author={ Ernest Davis and Scott Aaronson },
  journal={arXiv preprint arXiv:2308.05713},
  year={ 2025 }
}