Pangram at GenAI Detection Task 3: An Active Learning Approach to Machine-Generated Text Detection

Bradley Emi, Max Spero, Elyas Masrour

Abstract: We pretrain an autoregressive LLM-based detector on a wide variety of datasets, domains, languages, prompt schemes, and LLMs used to generate the AI portion of the dataset. We aggressively employ several augmentation strategies and preprocessing strategies to improve robustness. We then mine the RAID train set for the AI examples with the largest error based on the original classifier, and mix those examples and their human-written counterparts back into the training set. We then retrain the detector until convergence.

External IDs:dblp:conf/coling/EmiSM25