基本信息
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Bio
I am primarily interested in natural language processing and information retrieval. Specifically, my research is driven by the theme of Human-In-The-Loop (HITL), which basically means an intelligent agent cooperating together to finish a certain task. Pursuing along this long-term goal, I have been conducting research on various aspects:
Dialogue and QA system
--Dialogue and QA systems are two classic topics for human—computer interaction.
User feedback modeling
--User is the center of HITL systems. It is therefore a core research question to study how users’ feedback to or evaluation of a system performance and automatically simulate them to facilitate intelligent agent developing.
Understanding user input signals
--To better involve a user into a system, a system needs to better understand users based on their input signals. I am interested in understanding the signals carried by both natural languages (basically on discourse and pragmatic level) and beyond languages (mostly focusing on music and emotion).
HITL applications
--I believe the rationale of HITL will bring revolutions to many traditional NLP and IR applications as it provides a channel to involve human intelligence. Now, I am trying to introduce conversational mechanism to traditional recommendation system, building a conversational recommendation system.
Dialogue and QA system
--Dialogue and QA systems are two classic topics for human—computer interaction.
User feedback modeling
--User is the center of HITL systems. It is therefore a core research question to study how users’ feedback to or evaluation of a system performance and automatically simulate them to facilitate intelligent agent developing.
Understanding user input signals
--To better involve a user into a system, a system needs to better understand users based on their input signals. I am interested in understanding the signals carried by both natural languages (basically on discourse and pragmatic level) and beyond languages (mostly focusing on music and emotion).
HITL applications
--I believe the rationale of HITL will bring revolutions to many traditional NLP and IR applications as it provides a channel to involve human intelligence. Now, I am trying to introduce conversational mechanism to traditional recommendation system, building a conversational recommendation system.
Research Interests
Papers共 93 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
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arxiv(2025)
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arxiv(2025)
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ACM Transactions on Information Systems (2025)
Gangyi Zhang,Chongming Gao,Wenqiang Lei,Xiaojie Guo,Shijun Li,Hongshen Chen, Zhuozhi Ding,Sulong Xu,Lingfei Wu
ACM Transactions on Information Systems (2025)
arxiv(2025)
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arxiv(2025)
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Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1 Long Papers)pp.10660-10675, (2024)
EMNLP 2024 (2024): 4264-4282
EMNLP 2024 (2024): 424-444
THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 16pp.18289-18297, (2024)
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Author Statistics
#Papers: 91
#Citation: 2564
H-Index: 21
G-Index: 50
Sociability: 5
Diversity: 2
Activity: 74
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