40 citations · 87 across the 9 of their papers we have counts for
6 papers · 1 filter
Dialogue Language Model with Large-Scale Persona Data Engineering
Mengze Hong, Chen Jason Zhang, Chaotao Chen +2
Maintaining persona consistency is paramount in the application of open-domain dialogue systems, as exemplified by models like ChatGPT. Despite significant advancements, the limite…
DAL: Dual Adversarial Learning for Dialogue Generation
Shaobo Cui, Rongzhong Lian, Di Jiang +3
In open-domain dialogue systems, generative approaches have attracted much attention for response generation. However, existing methods are heavily plagued by generating safe respo…
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment
Siqi Bao, Huang He, Fan Wang +2
In this paper, a novel Generation-Evaluation framework is developed for multi-turn conversations with the objective of letting both participants know more about each other. For the…
Proactive Human-Machine Conversation with Explicit Conversation Goals
Wenquan Wu, Zhen Guo, Xiangyang Zhou +4
Though great progress has been made for human-machine conversation, current dialogue system is still in its infancy: it usually converses passively and utters words more as a matte…
Learning to Select Knowledge for Response Generation in Dialog Systems
Rongzhong Lian, Min Xie, Fan Wang +2
End-to-end neural models for intelligent dialogue systems suffer from the problem of generating uninformative responses. Various methods were proposed to generate more informative…
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering
Di Jiang, Yuanfeng Song, Rongzhong Lian +4
In the last decade, a variety of topic models have been proposed for text engineering. However, except Probabilistic Latent Semantic Analysis (PLSA) and Latent Dirichlet Allocation…