activity
20192022
most citedA Unified Pre-training Framework for Conversational AI

5 citations · 16 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL20223 cited

PLATO-K: Internal and External Knowledge Enhanced Dialogue Generation

Siqi Bao, Huang He, Jun Xu +7

Recently, the practical deployment of open-domain dialogue systems has been plagued by the knowledge issue of information deficiency and factual inaccuracy. To this end, we introdu…

cs.CL20221 cited

CDConv: A Benchmark for Contradiction Detection in Chinese Conversations

Chujie Zheng, Jinfeng Zhou, Yinhe Zheng +6

Dialogue contradiction is a critical issue in open-domain dialogue systems. The contextualization nature of conversations makes dialogue contradiction detection rather challenging.…

cs.CL20222 cited

Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation

Shihang Wang, Xinchao Xu, Wenquan Wu +3

Emotional support is a crucial skill for many real-world scenarios, including caring for the elderly, mental health support, and customer service chats. This paper presents a novel…

cs.CL20225 cited

Long Time No See! Open-Domain Conversation with Long-Term Persona Memory

Xinchao Xu, Zhibin Gou, Wenquan Wu +4

Most of the open-domain dialogue models tend to perform poorly in the setting of long-term human-bot conversations. The possible reason is that they lack the capability of understa…

cs.CL20215 cited

A Unified Pre-training Framework for Conversational AI

Siqi Bao, Bingjin Chen, Huang He +7

In this work, we explore the application of PLATO-2 on various dialogue systems, including open-domain conversation, knowledge grounded dialogue, and task-oriented conversation. PL…

cs.CL2019

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…