A Robustness Analysis of Automated Essay Scoring Methods
Rafael T. Anchiêta, Rogério Figueredo de Sousa, Raimundo Santos Moura · 2024
This paper analyzed the robustness of a state-of-the-art Automated Essay Scoring (AES) model by applying various linguistically motivated perturbations to the Essay-BR corpus. Our findings reveal that the AES model failed to detect these adversarial modifications, often assigning higher scores to the disturbed essays than to the original ones.