LLM-ASP

This is the repository for the paper Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text in Findings of ACL 2023.
Lab Page

Installation

conda create --name gpt3-r -c conda-forge python=3.11
conda activate gpt3-r
conda install -c conda-forge clingo=5.6 tqdm
pip install openai==0.22

How to run

Please update line 11 of file pipeline.py with your OpenAI API key. Then, to run the experiments for each dataset, simply follow the instructions in the README file in the respective data folder.

Citation

Please cite our paper as:

@inproceedings{yang-etal-2023-coupling,
    title = "Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text",
    author = "Yang, Zhun  and
      Ishay, Adam  and
      Lee, Joohyung",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.findings-acl.321",
    doi = "10.18653/v1/2023.findings-acl.321",
    pages = "5186--5219"
}