Alessio Cocchieri, Marcos Martínez Galindo, et al.
ACL 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.
Alessio Cocchieri, Marcos Martínez Galindo, et al.
ACL 2025
Arafat Sultan, Jatin Ganhotra, et al.
EMNLP 2024
Kevin Gu, Eva Tuecke, et al.
ICML 2024
Irene Huang, Wei Lin, et al.
NeurIPS 2024