Associate Professor & Ph.D. Advisor
Department of Computer Science and Engineering
Shanghai Jiao Tong University
Email: wangrui12 (as you know) sjtu.edu.cn
Biography
I am a computational linguist working at Shanghai Jiao Tong University since 2021. Previously, I worked at the Japanese National Institute of Information and Communications Technology from 2016 to 2020. I was a joint Ph.D. student at Shanghai Jiao Tong University and the French National Centre for Scientific Research from 2012 to 2016.
Language intelligence is a form of intelligence in which humans (and machines) learn about the outside world by reading natural language, producing highly abstract linguistic thinking; and then understanding, improving, and creating about the outside world. We aim to explore and extend the boundaries of language intelligence in the following areas:
1. The mechanism and application of LLM.
2. Language Intelligence for Science: primarily linguistic, psychology, cognitive science, etc.
3. Machine Translation: I worked on it for over ten years and will never give it up.
Language Intelligence and Computational Linguistic Lab (MT Lab)
I am always fortunate to work with these brilliant young researchers. (Previously Machine Translation Lab from 2017-2022)
目前实验室主要由NLP背景的同学为主，我们亦欢迎有心理学、语言学、认知科学等交叉学科背景的同学加入实验室。
@SJTU
Ph.D. Students:
Qingyuan Tian (2024-)
Yang Han (2023-)
Yiming Wang (2023-)
Xingyu Chen (2022-)
Zhiwei He (2021-)
Master Students:
2023-: Ziyin Zhang, Xiaofeng Wang, Lizhen Xu, Sheng Li
2022-: Hongkun Hao, Yiming Ai, Tianxiang Hu, Wenhong Zhu, Tian Xia
2021-2024: Ruize Gao (-->Alibaba DAMO Academy)
Undergraduate Students:
2023: Ziyin Zhang and Xiaofeng Wang (-->Master Student, SJTU)
2022: Yushen Chen, Hongkun Hao, Yiming Ai, and Tianxiang Hu (-->Master Student, SJTU)
2021: Xiaoyi Bao (-->Microsoft), Ruiyi Wang (-->Master Student, LTI, CMU)
CS3966: Natural Language Processing and Large Language Model, 2024-
CS3602: Natural Language Processing, 2021-
CS438: Information Extraction, 2021-2023
CS247: Data Mining, 2021-2022
Note: If you have a technical question about a research paper, it is best to try to get in contact with all of the authors, so the most appropriate person can respond as quickly as possible.
CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models
Wenhong Zhu, Hongkun Hao, Zhiwei He, Yunze Song, Yumeng Zhang, Hanxu Hu, Yiran Wei, Rui Wang*, Hongyuan Lu*
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024 Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model
Zhiwei He, Xing Wang*, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang*, Shuming Shi, Zhaopeng Tu
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024 Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents
Hao Wang, Tang Li, Chenhui Chu, Rui Wang, and Pinpin Zhu
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 2024 Exploring Human-Like Translation Strategy with Large Language Models
Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang*, Zhaopeng Tu*, Shuming Shi, Xing Wang
Transactions of the Association for Computational Linguistics (TACL), 2024 [Code][Code][Press]
