Jize Wang

I am a first-year PhD student at Department of Automation at Shanghai Jiao Tong University (SJTU), under the supervision of Prof. Cailian Chen and Prof. Xinyi Le. I am also a research intern at Shanghai AI Laboratory, mentored by Dr. Yining Li and Dr. Kai Chen. Prior to that, I received the B.Eng. degree from SJTU in 2022.

My current research interest mainly lies in LLM-based agents, multi-agent systems, and information extraction. For further discussion or potential collaboration, please email me at: jizewang2000 [at] gmail [dot] com.

English CV | 中文简历

Selected Publications

AAAI Oral

SAIL: Sample-Centric In-Context Learning for Document Information Extraction

Jinyu Zhang , Zhiyuan You , Jize Wang, and Xinyi Le

Proceedings of the AAAI Conference on Artificial Intelligence, 2025

Bib PDF Code

@article{zhang2024sailsamplecentricincontextlearning,
  title = {SAIL: Sample-Centric In-Context Learning for Document Information Extraction},
  author = {Zhang, Jinyu and You, Zhiyuan and Wang, Jize and Le, Xinyi},
  journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
  year = {2025},
}

NeurIPS

GTA: A Benchmark for General Tool Agents

Jize Wang, Zerun Ma , Yining Li , Songyang Zhang , Cailian Chen , Kai Chen , and Xinyi Le

Advances in Neural Information Processing Systems, 2024

Bib PDF Code Website

@article{wang2024gta,
  title = {GTA: A Benchmark for General Tool Agents},
  author = {Wang, Jize and Ma, Zerun and Li, Yining and Zhang, Songyang and Chen, Cailian and Chen, Kai and Le, Xinyi},
  journal = {Advances in Neural Information Processing Systems},
  year = {2024},
}

EMNLP

Adaptive Hinge Balance Loss for Document-Level Relation Extraction

Jize Wang, Xinyi Le , Xiaodi Peng , and Cailian Chen

Findings of the Association for Computational Linguistics: EMNLP, 2023

Bib PDF Code

@article{wang2023adaptive,
  title = {Adaptive Hinge Balance Loss for Document-Level Relation Extraction},
  author = {Wang, Jize and Le, Xinyi and Peng, Xiaodi and Chen, Cailian},
  journal = {Findings of the Association for Computational Linguistics: EMNLP},
  pages = {3872--3878},
  year = {2023},
}