Gyeongbok Lee a.k.a antest1

I'm currently working as a researcher in Text AI Lab., NCSOFT Co. My research interests lie in the fields of natural language processing/model interpretability/knowledge representation. My work primarily involved rapidly implementing and demonstrating research findings for practical use, leveraging a diverse skillset. I value the research direction of exploring and building applications that will help people increase productivity by utilizing AI/ML technologies such as large language models. I'm also interested in the techniques for deploying deep learning models for various services. Sometimes I do (and study) web and Android development.

Education

  • Yonsei University, M.S., Computer Science, 2016.09 - 2019.02
    Thesis: Explainable Machine Reading Comprehension Framework for Model Debugging
    Advised by Seung-won Hwang in Data Intelligence Lab
  • Yonsei University, B.S., Computer Science, 2013.03 - 2016.08
    Summa Cum Laude (Top 1%)

Publications

  • SQuAD2-CR: Semi-supervised Annotation for Cause and Rationales for Unanswerability in SQuAD 2.0
    Gyeongbok Lee, Seung-won Hwang, Hyunsouk Cho
    LREC 2020 [Paper] [Dataset]
  • Explanatory and Actionable Debugging for Machine Learning: A TableQA Demonstration
    Minseok Cho, Gyeongbok Lee, Seung-won Hwang
    SIGIR 2019 Demonstration [Paper] [Video]
  • QADiver: Interactive Framework for Diagnosing QA Models
    Gyeongbok Lee, Sungdong Kim, Seung-won Hwang
    AAAI 2019 Demonstration [Paper] [Video] [Code]
  • Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning
    Jinyoung Yeo, Gyeongbok Lee, Gengyu Wang, Seungtaek Choi, Hyunsouk Cho, Reinald Kim Amplayo, Seung-won Hwang
    LREC 2018 [Paper] [Dataset]

Services (Reviewer)

  • AAAI 2021-2025 (Program Committee)
  • LREC 2020, 2022, 2024 (Scientific Committee)

Personal Projects