Jiangjie Chen (陈江捷) is a third-year Ph.D. candidate at Fudan University (FDU) in School of Computer Science, Shanghai, China, where he is advised by Prof. Yanghua Xiao at Knowledge Works Lab. He is also currently a research intern at ByteDance AI Lab, where he works closely with Prof. Lei Li (now at UCSB), Dr. Hao Zhou (now at Tsinghua University) and Dr. Changzhi Sun.
He is a zealous believer in reasoning over natural language and dedicated to make neural models right for the right reasons. His research interests mainly lie in Text Reasoning, Text Generation and Explainable NLP, and particularly the intersection of them. His previous research experiences also include Knowledge Graph Construction.
( Download my resumé. Could be outdated. 😶)
Ph.D. in CS, 2019 - 2024 (estimated)
B.S. in CS (with honor), 2014 - 2019
[4/27/2022] E-KAR will be presented at the Commonsense Representation and Reasoning (CSRR) workshop @ ACL 2022, discussions welcomed!
[4/25/2022] E-KAR will be presented at ACL 2022 (virtually) in a poster session, welcome to check it out!
[4/8/2022] Our paper (ACT) got accepted at NAACL-HLT 2022!
[2/24/2022] Our paper (E-KAR) got accepted at ACL 2022 (Findings)!
We benchmark knowledge-intensive analogical reasoning with human-annotated explanations.
Interpretable fact verification with phrasal decomposition and logic regularization.