A RoBERTa ensemble with inverse perplexity weighting achieved 0.826 TPR (non-adversarial) and 0.801 TPR (adversarial) in a cross-domain AI-text detection shared task.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models
A RoBERTa ensemble with inverse perplexity weighting achieved 0.826 TPR (non-adversarial) and 0.801 TPR (adversarial) in a cross-domain AI-text detection shared task.