Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators
In this reference
Research tracking openness and accountability in instruction-tuned language models.
Cite the original work
Andreas Liesenfeld & Alianda Lopez & Mark Dingemanse (19 July 2023). Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators [Research paper]. ACM. https://doi.org/10.1145/3571884.3604316
View BibTeX
@misc{opening_up_chatgpt_tracking_openness_transparency_and_accountability_in_instruction_t,
author = {Andreas Liesenfeld and Alianda Lopez and Mark Dingemanse},
title = {{Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators}},
howpublished = {ACM},
url = {https://doi.org/10.1145/3571884.3604316},
year = {2023},
doi = {10.1145/3571884.3604316}
}
