Wenda Li

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I am a lecturer in hybrid AI at the University of Edinburgh and a visiting research fellow at the University of Cambridge. Prior to this, I was a research associate and a PhD student working with Prof. Larry Paulson at the University of Cambridge.

My research interest includes

  • neuro-symbolic reasoning,
  • AI for math,
  • machine learning for theorem proving,
  • and mechanised mathematics.

I am hoping to explore better neuro-symbolic frameworks for mathematical theorem proving.

Please feel free to reach out if you’re interested in collaborating or pursuing a PhD under my supervision.

selected publications

  1. ITP
    Formalising Half of a Graduate Textbook on Number Theory
    Manuel Eberl, Anthony Bordg, Lawrence Paulson, and 1 more author
    In International Conference on Interactive Theorem Proving, 2024
  2. NeurIPS
    Multi-language Diversity Benefits Autoformalization
    Albert Q. Jiang, Wenda Li, and Mateja Jamnik
    2024
  3. ICLR (oral)
    Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs
    Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, and 6 more authors
    In The Eleventh International Conference on Learning Representations , 2023
  4. NeurIPS
    Autoformalization with large language models
    Yuhuai Wu, Albert Qiaochu Jiang, Wenda Li, and 4 more authors
    Advances in Neural Information Processing Systems, 2022
  5. ICLR
    IsarStep: a Benchmark for High-level Mathematical Reasoning
    Wenda Li, Lei Yu, Yuhuai Wu, and 1 more author
    In International Conference on Learning Representations,, 2021
  6. JAR
    Evaluating winding numbers and counting complex roots through Cauchy indices in Isabelle/HOL
    Wenda Li, and Lawrence C Paulson
    Journal of Automated Reasoning, 2020
  7. JAR
    Deciding univariate polynomial problems using untrusted certificates in Isabelle/HOL
    Wenda Li, Grant Olney Passmore, and Lawrence C Paulson
    Journal of Automated Reasoning,, 2019