Detecting AI-Generated Text: Targeting Academic Integrity Applications
Completed for DS6051: Decoding Large Language Models at UVA, this project explores transformer-based methods for detecting AI-generated text in academic contexts. By fine-tuning RoBERTa using LoRA and optimizing for human accuracy, the model reduced false positives on human-written abstracts from 83.2% to just 0.7%, demonstrating the importance of fairness and robustness in detection systems.