Hello, I’m Yiming Wang (王一鸣).

I was born in Jiangsu Province, China, in August 2001. I’m now a second-year Ph.D. candidate at the Department of Computer Science and Engineering, Shanghai Jiao Tong University, supervised by Prof. Rui Wang. Before that, I received a Bachelor’s degree from the Institute of Artificial Intelligence, Beihang University.

🔬 Research

My research field is Natural Language Processing (NLP). Now I mainly focus on these areas oriented toward Large Language Models (LLMs) and Machine Learning (ML):

  • Machine Reasoning (Primary):
    • Pushing the Upper Limits of LLMs’ Known Reasoning Ability
    • Exploring the Boundaries of LLM Reasoning Ability
  • Discrete Generation:
    • Text Generation: Summarization
    • Molecular Generation: Retrosynthesis
  • Others: Interpretable AI, Trustworthy AI

🔥 News

  • 2024.09: One paper about Mathematical Reasoning and Out-of-Distribution Detection is accepted by NeurIPS 2024.
  • 2024.09: Two paper about Summarization and LLM Safety are accepted by EMNLP 2024.
  • 2024.05: One paper about LLM Reasoning is accepted by ACL 2024.
  • 2023.06: I earn my B.S. in Artificial Intelligence with a 1/31 overall ranking.
  • 2023.05: One paper about LLM Summarization (SumCoT) is accepted by ACL 2023.
  • 2022.08: One paper about Low-resource Summarization is accepted by COLING 2022.

📝 Selected Publications

Reasoning, Trustworthy AI
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Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning

Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang

Annual Conference on Neural Information Processing Systems (NeurIPS 2024, CCF-A)

Reasoning
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Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models

Yiming Wang, Zhuosheng Zhang, Pei Zhang, Baosong Yang, Rui Wang

Annual Meeting of the Association for Computational Linguistics (ACL 2024 Findings, CCF-A)

Summarization
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Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method

Yiming Wang, Zhuosheng Zhang, Rui Wang

Annual Meeting of the Association for Computational Linguistics (ACL 2023, CCF-A)

Summarization
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Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization

Yiming Wang, Qianren Mao, Junnan Liu, Weifeng Jiang, Hongdong Zhu, Jianxin Li

International Conference on Computational Linguistics (COLING 2022, CCF-B)

Fact Checking
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HiGIL: Hierarchical Graph Inference Learning for Fact Checking

Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang

International Conference on Data Mining (ICDM 2022, CCF-B)

📝 Selected Preprint

Reasoning
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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

📖 Educations

💻 Internships

  • 2024.03 - Present, Tongyi Laboratory, Alibaba, Hangzhou.
  • 2023.03 - 2023.09, Institute of AI Industry Research (AIR), Tsinghua University, Beijing.
  • 2021.11 - 2022.09, ACT Lab, Department of Computer Science and Engineering, Beihang University, Beijing.

💬 Service

  • Reviewer: ICLR (2025), ACL Rolling Review (2024)
  • Teaching Assistant: Natural Language Processing and Large Language Model (for the John Class, CS3966, 2024)

🎖 Honors and Awards

  • 2023.06: Outstanding Graduate of Beijing (5%)
  • 2023.01: Outstanding Teaching Assistant for Algebra Courses
  • 2021.12: Ministry of Education-Huawei ``Future Star’’ Joint Commendation Scholarship
  • 2020.12: The 1st prize in Beijing of the National College Student Mathematics Competition
  • 2018.09: The 1st prize in Jiangsu Province of the Mathematical Competition of Senior High School of China