no code implementations • 6 May 2023 • Da Ren, Yi Cai, Qing Li
Non-autoregressive models have been widely studied in the Complete Information Scenario (CIS), in which the input has complete information of corresponding output.
no code implementations • 4 Aug 2022 • Da Ren, Qing Li
Text generative models trained via Maximum Likelihood Estimation (MLE) suffer from the notorious exposure bias problem, and Generative Adversarial Networks (GANs) are shown to have potential to tackle this problem.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Junsheng Kong, Zhicheng Zhong, Yi Cai, Xin Wu, Da Ren
Neural response generative models have achieved remarkable progress in recent years but tend to yield irrelevant and uninformative responses.