ColdGANs: Taming Language GANs with Cautious Sampling Strategies
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano
We report experimental results obtained on three tasks: unconditional text generation, question generation, and abstractive summarization. For the first time, to the best of our knowledge, the proposed language GANs compare favorably to MLE, and obtain improvements over the state-of-the-art on the considered tasks.
