8 citations · 14 across the 13 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CL2021★ 1 cited
Learning to Predict Persona Information forDialogue Personalization without Explicit Persona Description
Wangchunshu Zhou, Qifei Li, Chenle Li
Personalizing dialogue agents is important for dialogue systems to generate more specific, consistent, and engaging responses. However, most current dialogue personalization approa…
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…