On the NLPCC 2025 Chinese AI-text detection benchmark, LoRA-adapted Qwen2.5-7B reaches 95.94% test accuracy, beating BERT-large (79.3%), RoBERTa-large (76.3%), and FastText (83.5%).
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LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA
On the NLPCC 2025 Chinese AI-text detection benchmark, LoRA-adapted Qwen2.5-7B reaches 95.94% test accuracy, beating BERT-large (79.3%), RoBERTa-large (76.3%), and FastText (83.5%).