8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.CL2021
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training
Wangchunshu Zhou, Qifei Li, Chenle Li
In this paper, we propose Inverse Adversarial Training (IAT) algorithm for training neural dialogue systems to avoid generic responses and model dialogue history better. In contras…
cs.IR2021★ 8 cited
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation
Jingwei Yi, Fangzhao Wu, Chuhan Wu +3
News recommendation is critical for personalized news access. Existing news recommendation methods usually infer users' personal interest based on their historical clicked news, an…
cs.CL2020
Connecting the Dots Between Fact Verification and Fake News Detection
Qifei Li, Wangchunshu Zhou
Fact verification models have enjoyed a fast advancement in the last two years with the development of pre-trained language models like BERT and the release of large scale datasets…