Mateus Do Amor Devino Pereira, Evaline Ju, et al.
CAIN 2025
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.
Mateus Do Amor Devino Pereira, Evaline Ju, et al.
CAIN 2025
Pierre Dognin, Inkit Padhi, et al.
EMNLP 2021
Andrew Drozdov, Jiawei Zhou, et al.
NAACL 2022
Michael Glass, Md Faisal Mahbub Chowdhury, et al.
ACL-IJCNLP 2021