I am an incoming postdoctoral researcher at Boston University, working with Prof. Najoung Kim and Prof. Sebastian Schuster. I received my Ph.D. from Korea University, honored to be advised by Prof. Pilsung Kang. I also collaborate closely with Prof. Misuk Kim at Hanyang University. Previously, I gained experience as a Research Intern at Naver. I completed my B.S. in (1) Industrial Management Engineering and (2) International Finance at Hankuk University of Foreign Studies. I worked under Prof. Chungmok Lee and was part of the Opt Lab.

My research focuses on Applied NLP. During Ph.D., I am actively engaged in realizing my research goal of ‘Towards Goal-oriented Language Intelligence with Robust Evaluation’. My current interests include Writing with AI, Language Model Evaluation, Conversational AI, and Anomaly Detection.

Interests
  • Writing with AI
  • Conversational AI
  • Language Model Evaluation
  • Anomaly Detection
Education
  • MS/PhD in Industrial Management & Engineering, 09/2019 - 08/2024

    Korea University

  • BSc in Industrial Management & Engineering, and International Finance, 03/2015 - 09/2019

    Hankuk University of Foreign Studies (Summa Cum Laude)

News

  • [June 2024]
    • I’m excited to share that I have successfully defended my Ph.D! 👩🏻‍🎓🌟
    • We released efficient memory reduction method paper (preprint)!; Check out ContAccum
  • [May 2024]
    • A big life update is coming soon! ✨
    • Our retrieval based log anomaly detection paper (RAPID) has been accepted for publication in the EAAI journal! (Q1, IF=8.0)
  • [Apr 2024] We released new LLM based Writing paper (preprint)!; Check out WritingPath
  • [Mar 2024] Our Checklist based LLM Evaluation paper (CheckEval) has been accepted at HEAL @ CHI 2024
  • [Feb 2024]
    • I won the Outstanding Paper Award from Korea University (BK21)
    • Our Entity Adaptive DST paper (DSTEA) has been accepted for publication in the Knowledge-Based Systems journal (Q1, IF=8.8)
  • ~ 2023
    • [Sep 2023] Our Log Anomaly Detection paper (LAnoBERT) has been accepted for publication in the Applied Soft Computing journal (Q1, IF=8.7)
    • [Jun 2023] Our Entity Adaptive DST paper (DSTEA) has been accepted at KnowledgeNLP @ KDD 2023
    • [May 2023] Our Pain Point Detection paper (Painsight) has been accepted at WASSA @ ACL 2023
    • [Apr 2023] Excited to join Unsupervised Learning team @ NAVER as Research intern
    • [Dec 2022] Our DST (with turnback utterance) paper has been accepted at SereTOD @ EMNLP 2022
    • [Feb 2022] Our DST Evaluation paper has been accepted at ACL 2022
    • [Nov 2020] Our Multilingual OpenIE paper has been accepted at EMNLP 2020 (findings)

Experience

Work Experience

Boston University Start Sep 2024
Postdoctoral Researcher @ Boston University

Naver Apr 2023 - July 2023
Research Intern @ Unsupervised Learning Team (Mentors: Soonwon Ka, Bokyung Son, Jaewook Kang)

  • Topic : Writing with AI
  • Contributed to CLOVA for Writing @ Naver
  • Additional Research Collaboration (Aug 2023 - Apr 2024)

Upstage Jan 2021 - Apr 2024
Education Mentor

  • Generative AI Mentor (6th, Teaching: Pilsung Kang)
  • Natural Language Processing Mentor (4th)
  • Machine Reading Comprehension Mentor (2nd, Teaching: Minjoon Seo)
  • Dialogue State Tracking Mentor (1st, Teaching: Sundong Kim)

Publications

For an up-to-date list of publications,
check out my Google Scholar.

(2024). A Gradient Accumulation Method for Dense Retriever under Memory Constraint. arXiv Preprint.

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(2024). Navigating the Path of Writing: Outline-guided Text Generation with Large Language Models. arXiv Preprint.

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(2024). CheckEval: Robust Evaluation Framework using Large Language Model via Checklist. HEAL@CHI2024.

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(2024). DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training. In Knowledge-Based System (IF = 8.8) and KnowledgeNLP@KDD 2023.

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(2024). RAPID: Training-free Retrieval-based Log Anomaly Detection with PLM considering Token-level information. Engineering Applications of Artificial Intelligence (IF = 8.0).

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