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cs.CL2026
LA-CPD: Local-Evidence-Aware Change-Point Detection for Human-LLM Authorship Segmentation
Qing Yang, Zhenyu Mao, Zixiang Luo +5
As LLM-generated text becomes increasingly human-like, accurately localizing LLM-authored spans in human-LLM co-authored documents is important for attribution and accountability i…
cs.CL2026
C-HAT-Bench: Benchmarking Chinese AI-Text Detection Beyond Fully Generated Text
Qing Yang, Zixiang Luo, Zhenyu Mao +6
Large Language Models (LLMs) increasingly participate in writing by modifying or extending human drafts, causing machine involvement to vary in both form and extent. Yet most Machi…