- An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks, COLING 2022: 6415-6425
- Modeling Multi-Granularity Hierarchical Features for Relation Extraction, NAACL-HLT 2022: 5088-5098
- Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context, EMNLP (1) 2021: 155-164
- Unsupervised Keyphrase Extraction by Jointly Modeling Local and Global Context, CoRR abs/2109.07293 (2021)
Research Experience
- Intern at ByteDance AI Lab, 2023.03-Present
- Intern at ByteDance Lark AI, 2022.04-2023.03
- Intern at Tencent CSIG-SPPD, 2020.08-2022.04
Education
Ph.D. student at Beihang University, supervised by Prof. Zhoujun Li and Dr. Shuangzhi Wu; B.S. degree from Nanjing University of Information Science & Technology.
Background
Research interests include Large Language Models, Text Summarization, and Information Extraction. Currently focusing on research related to large language model agents and their reasoning and planning capabilities.
Miscellany
In my spare time, I have diverse interests and enjoy activities such as football, cycling, 王者荣耀, coffee, whiskey, cocktails, and more. I welcome anyone with common interests to engage in discussions and exchange thoughts.