The official code of paper, "FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking", accepted for publication in APSIPA ASC 2023.
The raw datasets can be downloaded at CofCED.
The LORA checkpoints can be downloaded at here.
This project is built based on Alpaca-Lora.
Please cite our work if you found this project useful.
@INPROCEEDINGS{10317251,
author={Cheung, Tsun-Hin and Lam, Kin-Man},
booktitle={2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},
title={FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking},
year={2023},
volume={},
number={},
pages={846-853},
doi={10.1109/APSIPAASC58517.2023.10317251}}