LuxVeri at GenAI Detection Task 1: Inverse Perplexity Weighted Ensemble for Robust Detection of AI-Generated Text across English and Multilingual Contexts
Mobin, Md Kamrujjaman, Islam, Md Saiful
–arXiv.org Artificial Intelligence
The rapid advancement of language models such as This paper presents a robust ensemble approach GPT (Radford et al., 2019) and BERT (Devlin et al., for detecting AI-generated content, with strong 2019) has increased machine-generated content, performance across both English and multilingual raising significant concerns about misinformation tasks. However, significant opportunities remain and academic integrity. Identifying AI-generated for improving model generalization and addressing text becomes more challenging in multilingual contexts, data imbalance, which will be crucial for future where linguistic diversity adds further complexity advancements in this field. The following sections to model generalization. While existing will discuss the dataset, methodology, results, a approaches perform well in English, their effectiveness detailed analysis of the findings, and conclusions decreases when applied to languages with drawn from this study.
arXiv.org Artificial Intelligence
Jan-21-2025