RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data
Maxime Darrin,
Pablo Piantanida,
Pierre Colombo
Abstract:Implementing effective control mechanisms to ensure the proper functioning and security of deployed NLP models, from translation to chatbots, is essential. A key ingredient to ensure safe system behaviour is Out-Of-Distribution (OOD) detection, which aims to detect whether an input sample is statistically far from the training distribution. Although OOD detection is a widely covered topic in classification tasks, most methods rely on hidden features output by the encoder. In this work, we focus on leveraging s… Show more
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