About Cao Yixuan

Yixuan Cao is an Associate Professor in Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS). His research interest includes NLP, Document Intelligence, and Trustworthy AI (expecially hallucination in LLM). He is working on an exciting project that brings AI technology to finance.

Always looking for self-motivated interns with a strong interest/background in NLP / machine learning / data mining.

News: I’m currently looking for self-motivated master students who are interested in machine learning, data mining, and natual language processing. Please feel free to drop me email with your CV.

Education

• Ph.D in CS, University of Chinese Academy of Sciences (Institute of Computing Technology, CAS), 2015-2020
• B.S. in Traffic Engineering, Tongji University, 2011-2015

Publications

Guideline Learning for In-Context Information Extraction

Chaoxu Pang, Yixuan Cao, Qiang Ding, and Ping Luo. 2023. Guideline Learning for In-Context Information Extraction. In EMNLP, 2023.

Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification

Qiang Ding, Yixuan Cao, and Ping Luo. Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification. In NeurIPS, 2023.

Numerical Tuple Extraction from Tables with Pre-training

Qingping Yang, Yixuan Cao, Yinging Hu, Jianfeng Li, Nanbo Peng, and Ping Luo. Numerical Tuple Extraction from Tables with Pre-training. In KDD, 2022.

Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Methods, Evaluations, and Applications

Rongyu Cao, Yixuan Cao, Ganbin Zhou, and Ping Luo. Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application. Journal of Computer Science and Technology, 2021.

Jura: Towards Automatic Compliance Assessment for Annual Reports of Listed Companies

Zhengqi Xu, Yixuan Cao, et al. Numerical Formula Recognition from Tables. In CIKM, 2021.

Numerical Formula Recognition from Tables

Qingping Yang, Yixuan Cao, Hongwei Li, and Ping Luo. Numerical Formula Recognition from Tables. In KDD, 2021.

A Bottom-Up DAG Structure Extraction Model for Math Word Problems

Yixuan Cao, Feng Hong, Hongwei Li, and Ping Luo. A Bottom-Up DAG Structure Extraction Model for Math Word Problems. In AAAI, 2021.

Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts

Hongwei Li, Qingping Yang, Yixuan Cao, Jiaquan Yao, and Ping Luo. Cracking Tabular Presentation Diversity for Automatic Cross-Checking over Numerical Facts. In KDD, 2020.

Nested Relation Extraction with Iterative Neural Network

Yixuan Cao, Dian Chen, Hongwei Li, and Ping Luo. Nested Relation Extraction with Iterative Neural Network. In CIKM, 2019.

Extracting Formulas from Text

Yixuan Cao, Hongwei Li, Ping Luo, and Jiaquan Yao. Towards Automatic Numerical Cross-Checking: Extracting Formulas from Text. In WWW, 2018.