Cathy Jiao



Hello! I am a PhD student at the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University, advised by Chenyan Xiong.

Previously, I finished my masters at CMU LTI where I was advised by Maxine Eskenazi and Aaron Steinfeld. During my masters, I investigated generalization in language models – mostly in the realm of dialogue tasks. Before grad school, I spent time in industry working on machine learning and deep learning applications for natural language processing. Prior to that, I graduated with distinction from the University of British Columbia with a B.S. in Computer Science and Mathematics.

[CV] [Google Scholar] [Semantic Scholar]


*= equal contribution

  1. Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
    Jessica Huynh,  Cathy JiaoPrakhar Gupta, Shikib Mehri, Payal Bajaj, Vishrav Chaudhary,  and Maxine Eskenazi
    IWSDS 2023
  2. Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
    Prakhar Gupta,  Cathy JiaoYi-Ting Yeh, Shikib Mehri, Maxine Eskenazi,  and Jeffrey P. Bigham
    EMNLP 2022
  3. Improving compositional generalization for multi-step quantitative reasoning in question answering
    Armineh Nourbakhsh,  Cathy JiaoSameena Shah,  and Carolyn Rosé
    EMNLP 2022
  4. The DialPort tools
    Jessica Huynh*, Shikib Mehri*,  Cathy Jiao* and Maxine Eskenazi
    SIGDIAL 2022
  5. ET tu, CLIP? Addressing Common Object Errors for Unseen Environments
    Ye Won Byun*,  Cathy Jiao*Shahriar Noroozizadeh*, Jimin Sun*,  and Rosa Vitiello*
    CVPR, Embodied AI Workshop, 2022


  1. Natural language text conversion and method therefor
    Roger Donaldson,  and Cathy Jiao
    U.S. Patent 11275906, 2022