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Controlled Text Generation Using Pre-Trained Language Models

Most methods build upon Auto-Regressive (AR) and Sequence-to-Sequence (Seq2seq) models, guiding them to generate text for the desired task. Controllable Text Generation (CTG) tasks always treat the Pre-Trained Language Model (PLM) as a conditional generation model, and its formulation is P(XnX1:n1)=p(xnx1,x2,,xn1)P(X_n|X_{1:n-1}) = p(x_n|x_1, x_2, \dots, x_{n-1}).

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Updated 2026-05-16

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Deep Learning (in Machine learning)

Data Science

Computing Sciences