Zhaopeng Tu's Homepage

Zhaopeng Tu

Principal Researcher
Tencent AI Lab
tuzhaopeng@gmail.com

Bio

Zhaopeng Tu is a principal researcher at Tencent AI Lab, whose research focuses on deep learning for natural language processing (NLP). He is currently working on neural machine translation (NMT) and large language modeling (LLM). He has published over 100 papers in leading NLP/AI journals and conferences such as ICML, ACL, EMNLP, ICLR, and TACL. He served as Associate Editor of NeuroComputing, Area Chair or Senior PC Member of ACL, EMNLP, NAACL, AAAI, and IJCAI.

News

2024-01: Two papers were accepted to ICLR2024.
2023-10: Three papers were accepted to EMNLP2023.
2023-05: Two papers were accepted to ACL2023.
2022-11: Our paper titled "Adapters for Enhanced Modeling of Multilingual Knowledge and Text" was selected as the best paper of MRL Workshop in EMNLP2022.
2022-10: Three papers were accepted to EMNLP2022.
2022-02: Three papers were accepted to ACL2022.
2021-05: One paper was accepted to ICML2021.
2021-05: Five papers were accepted to ACL2021.
2021-01: Two papers were accepted to ICLR2021.
2020-09: Three papers were accepted to EMNLP2020.
2020-04: Two papers were accepted to ACL2020.

Selected Publications

full list

Large Language Models

Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Xing Wang, and Zhaopeng Tu. Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine. Preprint.
Longyue Wang, Chenyang Lyu, Tianbo Ji, Zhirui Zhang, Dian Yu, Shuming Shi, and Zhaopeng Tu. Document-Level Machine Translation with Large Language Models. EMNLP 2023.
Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Xing Wang, Shuming Shi, and Zhaopeng Tu. ParroT: Translating During Chat Using Large Language Models. EMNLP 2023 (Findings).
Zhiwei He, Tian Liang, Wenxiang Jiao, Zhuosheng Zhang, Yujiu Yang, Rui Wang, Zhaopeng Tu*, Shuming Shi, and Xing Wang. Exploring Human-Like Translation Strategy with Large Language Models. TACL.
Zhiwei He, Xing Wang, Wenxiang Jiao, Zhuosheng Zhang, Rui Wang, Shuming Shi, and Zhaopeng Tu. Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model. Preprint.
Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho LAM, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, and Michael Lyu. On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs. ICLR 2024 (Oral, 1.2%).
Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, and Zhaopeng Tu. GPT-4 is too Smart to be Safe: Stealthy Chat with LLMs via Cipher. ICLR 2024.
Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu*, and Michael R Lyu. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models. Preprint.
Wenxuan Wang, Zhaopeng Tu, Chang Chen, Youliang Yuan, Jen-tse Huang, Wenxiang Jiao, and Michael R Lyu. All Languages Matter: On the Multilingual Safety of Large Language Models. Preprint.
Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, and Shuming Shi. Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate. Preprint.
Chenyang Lyu, Minghao Wu, Longyue Wang, Xinting Huang, Bingshuai Liu, Zefeng Du, Shuming Shi, and Zhaopeng Tu. Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration. Preprint.

Autoregreesive NMT

Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li. Modeling Coverage for Neural Machine Translation. ACL 2016. [code]
Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, and Hang Li. Context Gates for Neural Machine Translation. TACL 2017. [code]
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, and Hang Li. Neural Machine Translation with Reconstruction. AAAI 2017. [code]
Longyue Wang, Zhaopeng Tu*, Andy Way, and Qun Liu. Exploiting Cross-Sentence Context for Neural Machine Translation. EMNLP 2017 (Short).
Zhaopeng Tu, Yang Liu, Shuming Shi, and Tong Zhang. Learning to Remember Translation History with a Continuous Cache. TACL 2018.

Non-Autoregreesive NMT

Cunxiao Du, Zhaopeng Tu*, and Jing Jiang. Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. ICML 2021.
Cunxiao Du, Zhaopeng Tu*, Longyue Wang, and Jing Jiang. ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation. COLING 2022.
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, and Zhaopeng Tu. Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR 2021.
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, and Zhaopeng Tu. Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. ACL 2021.
Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, and Zhaopeng Tu. Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL 2022.