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    Tianyi Chen

    Applied Research Scientist at ServiceNow

    Tianyi Chen is an Applied Research Scientist in the Emerging Technologies Lab at ServiceNow Research. Her expertise lies in Computer Science and Natural Language Processing (NLP), with a particular focus on leveraging Bayesian methods to estimate uncertainty in structured sequence generation using large language models (LLMs). She also applies LLMs for tasks such as data augmentation and disambiguating user input for product teams. Her current research interests include LLMs, uncertainty quantification, and text-to-code applications.12

    Tianyi holds a master’s degree in Computer Science and Artificial Intelligence. Prior to joining ServiceNow, she worked at Element AI, where her responsibilities included developing text embedding and signal extraction techniques using language models. Additionally, she has experience as an AI consultant, helping non-tech clients adopt AI technologies.1

    Highlights

    Tianyi Chen's personal cyber space!
    Tianyi Chen - Google Scholar
    ‪Tianyi Chen‬ - ‪Google Scholar‬
    May 4 · servicenow.com
    Tianyi Chen | ServiceNow Research
    Tianyi Chen | ServiceNow Research

    Related Questions

    What are Tianyi Chen's main research interests at ServiceNow?
    How does Tianyi Chen's work on Bayesian methods contribute to large language models?
    What projects has Tianyi Chen worked on at Element AI?
    Can you provide examples of Tianyi Chen's AI consultancy work for non-tech clients?
    What is Tianyi Chen's educational background in Computer Science and AI?
    Tianyi Chen
    Tianyi Chen, photo 1
    Tianyi Chen, photo 2
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    Location

    Toronto, Ontario, Canada