Zvi Kons, Aharon Satt, et al.
ICASSP 2022
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.
Zvi Kons, Aharon Satt, et al.
ICASSP 2022
Andong Wang, Bo Wu, et al.
CVPR 2024
Hadar Mulian, Sergey Zeltyn, et al.
ICSE 2026
Igor Melnyk, Pierre Dognin, et al.
EMNLP 2022