2 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 2 cited
Teacher Forcing Recovers Reward Functions for Text Generation
Yongchang Hao, Yuxin Liu, Lili Mou
Reinforcement learning (RL) has been widely used in text generation to alleviate the exposure bias issue or to utilize non-parallel datasets. The reward function plays an important…
cs.CL2022★ 2 cited
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Yuqiao Wen, Yongchang Hao, Yanshuai Cao +1
Open-domain dialogue systems aim to interact with humans through natural language texts in an open-ended fashion. Despite the recent success of super large dialogue systems such as…
cs.CL2022★ 1 cited
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
Wenxuan Wang, Wenxiang Jiao, Yongchang Hao +4
In this paper, we present a substantial step in better understanding the SOTA sequence-to-sequence (Seq2Seq) pretraining for neural machine translation~(NMT). We focus on studying…