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Detecting The Corruption Of Online Questionnaires By Artificial Intelligence
Researchers currently have to rely on the disinterest of bad actors to successfully use open-ended responses as a useful tool for ensuring data quality.
Evaluating Distributional Distortion in Neural Language Modeling
To address this gap, we develop a controlled evaluation scheme which uses generative models trained on natural data as artificial languages from which we can exactly compute sequence probabilities.
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