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researcher

Yizhou Zhao

20 papers hereh-index 8608 citations19 works total

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

author position
  • first author9
  • middle author11

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL4
  • cs.CV4
  • cs.GR2
  • cs.LG2
  • cs.RO2
same name
  • Yizhou Zhao — 18 papers, h 6
  • Yizhou Zhao — 10 papers, h 7
  • Yizhou Zhao — 3 papers, h 3
  • Yizhou Zhao — 3 papers, h 6
  • Yizhou Zhao — 2 papers, h 2
  • Yizhou Zhao — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedValueNet: A New Dataset for Human Value Driven Dialogue System

29 citations · 108 across the 19 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2021★ 29 cited

ValueNet: A New Dataset for Human Value Driven Dialogue System

Liang Qiu, Yizhou Zhao, Jinchao Li +4

Building a socially intelligent agent involves many challenges, one of which is to teach the agent to speak guided by its value like a human. However, value-driven chatbots are sti…

cs.CL2021★ 3 cited

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues

Liang Qiu, Yuan Liang, Yizhou Zhao +5

Inferring social relations from dialogues is vital for building emotionally intelligent robots to interpret human language better and act accordingly. We model the social network a…

cs.CL2021★ 3 cited

Towards Socially Intelligent Agents with Mental State Transition and Human Utility

Liang Qiu, Yizhou Zhao, Yuan Liang +4

Building a socially intelligent agent involves many challenges. One of which is to track the agent's mental state transition and teach the agent to make decisions guided by its val…

cs.CL2020★ 29 cited

Structured Attention for Unsupervised Dialogue Structure Induction

Liang Qiu, Yizhou Zhao, Weiyan Shi +5

Inducing a meaningful structural representation from one or a set of dialogues is a crucial but challenging task in computational linguistics. Advancement made in this area is crit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.