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cs.CL2026
Linear Probing Provides Robust and Efficient Detection of Machine-Generated Text
Gerrit Quaremba, Hanqi Yan, Elizabeth Black +2
Distinguishing machine-generated text (MGT) from human-written text (HWT) becomes increasingly important due to potential misuse. However, most supervised detectors often degrade o…
cs.CL2025
WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia
Gerrit Quaremba, Elizabeth Black, Denny Vrandečić +1
Given Wikipedia's role as a trusted source of high-quality, reliable content, concerns are growing about the proliferation of low-quality machine-generated text (MGT) produced by l…