Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text
  Detection
Duke Nguyen Khaing Myat Noe Naing Aditya Joshi
This paper reports our submission under the team name `SynthDetectives' to
the ALTA 2023 Shared Task. We use a stacking ensemble of Transformers for the
task of AI-generated text detection. Our approach is novel in terms of its
choice of models in that we use accessible and lightweight models in the
ensemble. We show that ensembling the models results in an improved accuracy in
comparison with using them individually. Our approach achieves an accuracy
score of 0.9555 on the official test data provided by the shared task
organisers.