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MixALign

The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models

ACL 2024 Findings

Usage

Run

python evalution_pipeline.py --apikey your_openai_api_key --model_name gpt-3.5-turbo

You will find a result.csv file in the base directory. Note that OpenAI has discontinued the text-davinci-003 model previously used for our experiments. As an alternative, you can use the gpt-3.5-turbo model.

Cite

Please cite our paper if you use this code in your own work:

@article{zhang2023knowledge,
  title={The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models},
  author={Zhang, Shuo and Pan, Liangming and Zhao, Junzhou and Wang, William Yang},
  journal={Findings of the 62nd Annual Meeting of the Association for Computational Linguistics},
  year={2024}
}

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