/MaScQA

Primary LanguageJupyter Notebook

MaScQA

Please refer to the following codes for prompting LLaMA-2-70b and GPT models

  1. LLaMA-2-70b - llama-recipes
  2. OpenAI models - openai-python

The exact response of all the prompting methods for every question is available in raw_qa.zip

Citing

If you use MaScQA in your research, please cite MaScQA: investigating materials science knowledge of large language models

@article{zaki2024mascqa,
  title={MaScQA: investigating materials science knowledge of large language models},
  author={Zaki, Mohd and Krishnan, NM Anoop and others},
  journal={Digital Discovery},
  volume={3},
  number={2},
  pages={313--327},
  year={2024},
  url={https://pubs.rsc.org/en/content/articlehtml/2024/dd/d3dd00188a},
  doi={10.1039/D3DD00188A},
  publisher={Royal Society of Chemistry}
}