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SenFlow: Inter-Sentence Flow Modeling for AI-Generated Text Detection in Hybrid Documents

arXiv cs.CL · 2026-06-18 Cached

This paper proposes SenFlow, a method for sentence-level AI-generated text detection in hybrid documents by modeling inter-sentence dependencies using graph propagation and linear-chain CRF decoding. It also introduces the MOSAIC benchmark with 16,000 documents generated by DeepSeek-V3.2 and Kimi K2, achieving state-of-the-art performance.

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