Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
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.
Gabriele Picco, Lam Thanh Hoang, et al.
EMNLP 2021
Sunil Manandhar, Kaushal Kafle, et al.
USENIX Security 2022
Yangkai Du, Tengfei Ma, et al.
EMNLP 2021
Xue Han, Lianxue Hu, et al.
SCC 2020