Plug and Play Language Models: A Simple Approach to Controlled Text Generation

ICLR 2020 Sumanth DathathriAndrea MadottoJanice LanJane HungEric FrankPiero MolinoJason YosinskiRosanne Liu

Large transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities. However, controlling attributes of the generated language (e.g. switching topic or sentiment) is difficult without modifying the model architecture or fine-tuning on attribute-specific data and entailing the significant cost of retraining... (read more)

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