Alberto Purpura, Natasha Mulligan, et al.
AMIA Informatics Symposium 2024
Models for text generation have become focal for many research tasks and especially for the generation of sentence corpora. However, understanding the properties of an automatically generated text corpus remains challenging. We propose a set of tools that examine the properties of generated text corpora. Applying these tools on various generated corpora allowed us to gain new insights into the properties of the generative models. As part of our characterization process, we found remarkable differences in the corpora generated by two leading generative technologies.
Alberto Purpura, Natasha Mulligan, et al.
AMIA Informatics Symposium 2024
Sunil Manandhar, Kaushal Kafle, et al.
USENIX Security 2022
Jiawei Zhou, Tahira Naseem, et al.
NAACL 2021
Neel Bhandari, Pin-Yu Chen
ICLR 2022