  This paper presents the MasonTigers entry to the SemEval-2024 Task 8 -
Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text
Detection. The task encompasses Binary Human-Written vs. Machine-Generated Text
Classification (Track A), Multi-Way Machine-Generated Text Classification
(Track B), and Human-Machine Mixed Text Detection (Track C). Our best
performing approaches utilize mainly the ensemble of discriminator transformer
models along with sentence transformer and statistical machine learning
approaches in specific cases. Moreover, zero-shot prompting and fine-tuning of
FLAN-T5 are used for Track A and B.
