Papilusion at DAGPap24: Paper or Illusion? Detecting AI-generated Scientific Papers
This addresses the need for reliable detection of AI-generated content in scientific publishing, though it is incremental as part of a shared task.
The paper tackles the problem of detecting AI-generated scientific papers by developing Papilusion, an ensemble-based detector, which achieved a 99.46 F1-score on the official test set, improving by 9.63 points.
This paper presents Papilusion, an AI-generated scientific text detector developed within the DAGPap24 shared task on detecting automatically generated scientific papers. We propose an ensemble-based approach and conduct ablation studies to analyze the effect of the detector configurations on the performance. Papilusion is ranked 6th on the leaderboard, and we improve our performance after the competition ended, achieving 99.46 (+9.63) of the F1-score on the official test set.