Recovering Missing Key Information: An Aspect-guided Generator for Abstractive Multi-document Summarization
5月 1, 2023·
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0 分钟阅读时长
Haotian Chen
Han Zhang
Houjing Guo
Shuchang Yi
Bingsheng Chen
Xiangdong Zhou
摘要
We propose an entity-guided multi-document information summarization method that dynamically captures, compares, and monitors entity-related information for generating comprehensive summaries.
类型
出版物
In Database Systems for Advanced Applications (DASFAA 2023)

Authors
Haotian Chen
(he/him)
Research Assistant Professor
I am a Research Assistant Professor at the School of Artificial Intelligence, Shanghai Jiao Tong University, where I work with Prof. Junchi Yan at RethinkLab. I study how to build AI systems that can automate long-horizon, effort-intensive, and creativity-demanding tasks such as research, engineering, and development. My current work focuses on autonomous agents, large language models, and AI4Research. Before joining SJTU, I received my PhD in Data Science from Fudan University, advised by Prof. Xiangdong Zhou, and completed postdoctoral research at Tsinghua University (THUNLP), working with Prof. Zhiyuan Liu and Prof. Maosong Sun. I was also a research intern at the Machine Learning Research Group of Microsoft Research Asia, mentored by Xiao Yang, and at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, working with Prof. Yang Yu.