Factuality challenges in the era of large language models and opportunities for fact-checking. Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., Hovy, E., Ji, H., Menczer, F., Miguez, R., Nakov, P., Scheufele, D., Sharma, S., & Zagni, G. Nature Machine Intelligence, 6:852–863, 2024. arXiv preprint https://doi.org/10.48550/arXiv.2310.05189![Factuality challenges in the era of large language models and opportunities for fact-checking [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @article{AI-factuality,
author = {Isabelle Augenstein and Timothy Baldwin and Meeyoung Cha and Tanmoy Chakraborty and Giovanni Luca Ciampaglia and David Corney and Renee DiResta and Emilio Ferrara and Scott Hale and Alon Halevy and Eduard Hovy and Heng Ji and Filippo Menczer and Ruben Miguez and Preslav Nakov and Dietram Scheufele and Shivam Sharma and Giovanni Zagni},
date-added = {2023-10-10 17:46:01 -0400},
date-modified = {2025-02-12 12:19:06 -0500},
doi = {10.1038/s42256-024-00881-z},
journal = {Nature Machine Intelligence},
keywords = {myown abuse osome web social agents ai},
note = {arXiv preprint https://doi.org/10.48550/arXiv.2310.05189},
pages = {852--863},
title = {Factuality challenges in the era of large language models and opportunities for fact-checking},
url = {https://rdcu.be/dRFy0},
volume = {6},
year = {2024},
bdsk-url-1 = {https://doi.org/10.48550/arXiv.2310.05189}}
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