AI RESEARCH
MELD: Multi-Task Equilibrated Learning Detector for AI-Generated Text
arXiv CS.AI
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ArXi:2605.06903v1 Announce Type: cross Large language models are now embedded in everyday writing workflows, making reliable AI-generated text detection important for academic integrity, content moderation, and provenance tracking. In practice, however, a detector must do than achieve high aggregate AUROC on clean, in-distribution human and AI text: it should remain robust to attacks and adversarial rewrites, transfer to unseen generators and domains, and operate at low false-positive rates.