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Kaixiang Mo

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3

identity via Semantic Scholar / OpenAlex

most citedFlexible End-to-End Dialogue System for Knowledge Grounded Conversation

89 citations · 103 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2017★ 14 cited

Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems

Kaixiang Mo, Yu Zhang, Qiang Yang +1

Training a personalized dialogue system requires a lot of data, and the data collected for a single user is usually insufficient. One common practice for this problem is to share t…

cs.CL2017

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System

Weiyan Wang, Yuxiang WU, Yu Zhang +3

Task-oriented dialogue systems can efficiently serve a large number of customers and relieve people from tedious works. However, existing task-oriented dialogue systems depend on h…

cs.CL2017★ 89 cited

Flexible End-to-End Dialogue System for Knowledge Grounded Conversation

Wenya Zhu, Kaixiang Mo, Yu Zhang +3

In knowledge grounded conversation, domain knowledge plays an important role in a special domain such as Music. The response of knowledge grounded conversation might contain multip…

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