A DeBERTa-based ensemble with LSTM, attention pooling, and training tricks is claimed to reach high AI-text detection scores, but the experiments lack dataset description, baselines, and code.
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A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques
A DeBERTa-based ensemble with LSTM, attention pooling, and training tricks is claimed to reach high AI-text detection scores, but the experiments lack dataset description, baselines, and code.