Boshi Wang (汪博石)

PhD student at The Ohio State University

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I'm passionate about understanding and creating intelligence systems. Currently I'm focused on understanding & improving the reasoning capabilities of (large) language models.

In my spare time, I like reading & thinking about philosophy, math, and consciousness. Recent favorite book: Gödel, Escher, Bach: an Eternal Golden Braid by Douglas Hofstadter.

Links

  • Blog
  • About Me

    Hi! I'm a third-year PhD student at The Ohio State University, advised by Prof. Huan Sun. Previously, I received a Bachelor degree in Computer Science at ShanghaiTech University.

    News

    • 05/2023 | Check out our new paper on eliciting LLM's lack of reasoning via debate.
    • 05/2023 | Paper on understanding Chain-of-Thought prompting accepted to ACL-23. See you in Toronto!
    • 10/2022 | Paper on enhancing multi-step reasoning abilities of pretrained language models accepted to EMNLP-22.
    • 08/2022 | Invited to be serve as a PC member of AAAI-23.
    • 08/2021 | Began my PhD @ OSU! Go Buckeyes!

    Publications

    LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error

    B. Wang, H. Fang, J. Eisner, B. Van Durme, Y. Su

    arXiv-24

    Paper Code

    Can ChatGPT Defend its Belief in Truth? Evaluting LLM Reasoning via Debate

    B. Wang, X. Yue, H. Sun

    EMNLP-23 (findings), The 2023 Conference on Empirical Methods in Natural Language Processing

    Paper Code

    Automatic Evaluation of Attribution by Large Language Models

    X. Yue, B. Wang, K. Zhang, Z. Chen, Y. Su, H. Sun

    EMNLP-23 (findings), The 2023 Conference on Empirical Methods in Natural Language Processing

    Paper Code

    Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

    B. Wang, S. Min, X. Deng, J. Shen, W. You, L. Zettlemoyer, H. Sun

    ACL-23 (Honorable Mention), The 61st Annual Meeting of the Association for Computational Linguistics

    Paper Code

    A Retrieve-and-Read Framework for Knowledge Graph Link Prediction

    V. Pahuja, B. Wang, H. Latapie, J. Srinivasa, Y. Su

    CIKM-23, The 32nd ACM International Conference on Information and Knowledge Management

    Paper

    Mind2Web: Towards a Generalist Agent for the Web

    X. Deng, Y. Gu, B. Zheng, S. Chen, S. Stevens, B. Wang, H. Sun, Y. Su

    NeurIPS-23 Dataset Track (Spotlight), Thirty-seventh Conference on Neural Information Processing Systems

    Paper Code

    Iteratively Prompt Pre-trained Language Models for Chain of Thought

    B. Wang, X. Deng, H. Sun

    EMNLP-22 (Oral), The 2022 Conference on Empirical Methods in Natural Language Processing

    Paper Code

    Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property

    B. Wang*, J. Yi*, H. Dong, B. Qiao, C. Luo, Q. Lin

    ICLR-22, The Tenth International Conference on Learning Representations

    Paper

    Homomorphic Sensing: Sparsity and Noise

    L. Peng, B. Wang and M. C. Tsakiris

    ICML-21, Proceedings of the 38th International Conference on Machine Learning

    Paper

    Designing Context-Sensitive Norm Inverse Reinforcement Learning Framework for Norm-Compliant Autonomous Agents

    Y. Guo, B. Wang, D. Hughes, M. Lewis, K. Sycara

    ROMAN-20, 29th IEEE International Conference on Robot and Human Interactive Communication

    Paper

    Education

    • 08/2021 - Present | PhD, Ohio State University, USA
    • 06/2019 - 09/2019 | Robotics Institute Summer Scholars, Carnegie Mellon University, USA
    • 09/2016 - 07/2020 | B.S.E in Computer Science, ShanghaiTech University, CHN

    Work/Intern Experience

    06/2023 - 08/2023

    Microsoft Semantic Machines

    Research Intern

    01/2021 - 06/2021

    Microsoft Research Asia

    Research Intern

    07/2020 - 12/2020

    Institue of Mathematical Sciences, ShanghaiTech University

    Research Assistant

    Service

    • PC Member: AAAI-23
    • Secondary Reviewer: EMNLP-21, ICML-20