Massimiliano Pronesti, Angelo Miculescu, et al.
ACL 2026
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.
Massimiliano Pronesti, Angelo Miculescu, et al.
ACL 2026
Eyal Shnarch, Leshem Choshen, et al.
EMNLP 2020
Alessio Cocchieri, Marcos Martínez Galindo, et al.
ACL 2025
Sara Rosenthal, Ken Barker, et al.
EMNLP-IJCNLP 2019