Hui Wan, Song Feng, et al.
NAACL 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.
Hui Wan, Song Feng, et al.
NAACL 2021
Dhiraj Madan, Dinesh Raghu, et al.
ECAI 2020
Xue Han, Lianxue Hu, et al.
SCC 2020
Hao Du, Bo Wu, et al.
CVPR 2025