About me

I am a third-year PhD student (2021 - present) of Department of Computer Science and Engineering at Shanghai Jiao Tong University (SJTU). I am fortunate to be advised by Prof. Rui Wang. Before that, I received the bachelor degree in Software Engineering from South China University of Technology (SCUT). I am currently a research intern at Tencen AI Lab, co-advised by Dr. Xing Wang and Dr. Zhaopeng Tu.

🔬 Research

Autonomous Agent powered by Large Language Models

• Multi-agent debate [Preprint]

Human-centered Machine Translation

• Bridging the gap between training signal and real user input [ACL 2022]
• Human-like translation strategy [TACL 2024]
• Improving translation with human feedback

🔥 News

• 2023.11: 🎉🎉 One paper about human-like translation strategy is accepted by TACL 2024.
• 2023.05: We introduce the MAPS framework, enabling LLMs to mimic the human translation strategy. See also the media coverage 📸 and demo.
• 2023.05: We propose multi-agent debate framework (MAD) with large language models (preprint).
• 2023.05: One short paper about tense consistency of machine translation is accepted by ACL 2023.

🖨️ Preprints

* denotes co-first authors

arXiv 2023

Igniting Language Intelligence: The Hitchhiker’s Guide From Chain-of-Thought Reasoning to Language Agents

Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao

CODE BIB

• A journey from CoT to language agent.

arXiv 2023

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Tian Liang*, Zhiwei He*, Wenxiang Jiao*, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi

CODE BIB

• Yes. Multi-agent debate.

• Leveraging Word Guessing Games to Assess the Intelligence of Large Language Models

  Tian Liang, Zhiwei He, Jen-tse Huang, Wenxuan Wang, Wenxiang Jiao, Rui Wang, Yujiu Yang, Zhaopeng Tu, Shuming Shi, Xing Wang

  arXiv 2023 | CODE BIB

📝 Publications

* denotes co-first authors

TACL 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

CODE BIB

• We propose MAPS, the first machine translation system that mimics human translation strategies.
• Outperforms WMT22 winners in 5 out of 11 translation directions.
• Media coverage

• ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback

  Wenxiang Jiao, Jen-tse Huang, Wenxuan Wang, Zhiwei He, Tian Liang, Xing Wang, Shuming Shi, Zhaopeng Tu

  EMNLP 2023 | CODE BIB SLIDE

• TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation

  Yiming Ai, Zhiwei He, Kai Yu, Rui Wang

  ACL 2023 | CODE BIB POSTER SLIDE

• Tencent AI Lab-Shanghai Jiao Tong University Low-Resource Translation System for the WMT22 Translation Task

  Zhiwei He, Xing Wang, Zhaopeng Tu, Shuming Shi, Rui Wang

  WMT 2022 | CODE BIB POSTER

  • Machine translation system for Livonian
  • 🥇1st place for English$\Rightarrow$Livonian (unconstrained system)
  • 🥈2nd place for Livonian$\Rightarrow$English (unconstrained system)

• Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation

  Zhiwei He, Xing Wang, Rui Wang, Shuming Shi, Zhaopeng Tu

  ACL 2022 | CODE BIB POSTER SLIDE

🎖 Honors and Awards

• 2022.8: 1st place in the WMT22 General Translation Task, English to Livonian (Unconstrained System).
• 2022.8: 2nd place in the WMT22 General Translation Task, Livonian to English (Unconstrained System).
• 2018, 2019: First Class Scholarship.

💬 Invited Talks

• 2023.11: Improving Machine Translation with Human Strategy and Feedback, CJNLP | [slide]
• 2022.08: Unsupervised Neural Machine Translation, CCKS 2022

💻 Internships

• 2021 - present: Tencent AI Lab, Shenzhen, Mentors: Dr. Xing Wang and Dr. Zhaopeng Tu.