Haneul Yoo

Pronouns: She/Her/Hers

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Hello. I’m Haneul Yoo, a Ph.D. candidate advised by Professor Alice Oh at Users & Information Lab, School of Computing, KAIST. I am also serving as a lecturer at Boostcamp AI Tech supported by NAVER Connect Foundation. Previously, I have interned at NAVER AI Lab, Upstage, KEPCO Research Institute, and CSIRO.

As a researcher in machine learning (ML) and natural language processing (NLP), my ultimate goal is to bridge the gap of communication among different cultures and languages with the help of large language models (LLMs). I have worked on boosting communications of non-native speakers by 1) enhancing the performances of multilingual LLMs, especially in low-resource languages, through the release of datasets and benchmarks and 2) assisting their language learning through LLM-driven education innovation.

My research interest includes:

  • Multilingual NLP, Low-resource Languages
  • NLP Resources, Data & Evaluation
  • Language Learning, LLM-driven Education Innovation

Please feel free to contact me via email {firstname}.{lastname} (at) kaist.ac.kr.


News

Dec 09, 2024 Attending NeurIPS to present two papers 🇨🇦
CSRT as poster at Red Teaming GenAI & DREsS as oral at FM-EduAssess!
Nov 03, 2024 Attending Singapore AI Safety Red Teaming Challenge 2024 🇸🇬
Honored to receive 3rd place award!
Aug 11, 2024 Attending ACL 2024 to present KoBBQ as both oral and poster 🇹🇭
Aug 10, 2024 Attending the 1st international NLP workshop at KAIST to present CSRT 🏆
Honored to reveice best poster award!
Jun 29, 2024 Attending BMW Summer School 2024 to present two posters (KoBBQ and CSRT) 🇩🇪
Honored to be nominated as young scientists for BMW Tech Office Korea grant!

Selected Publications

  1. LREC-COLING
    RECIPE4U: Student-ChatGPT Interaction Dataset in EFL Writing Education
    Jieun Han*, Haneul Yoo*, Junho Myung, Minsun Kim, Tak Yeon Lee, So-Yeon Ahn, and Alice Oh
    LREC-COLING, 2024
  2. TACL
    KoBBQ: Korean Bias Benchmark for Question Answering
    Jiho Jin*, Jiseon Kim*, Nayeon Lee*, Haneul Yoo*, Alice Oh, and Hwaran Lee
    TACL (IF=9.194) , 2024
  3. ACL
    Rethinking Annotation: Can Language Learners Contribute?
    Haneul Yoo, Rifki Afina Putri, Changyoon Lee, Youngin Lee, So-Yeon Ahn, Dongyeop Kang, and Alice Oh
    ACL, 2023
  4. Findings
    HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea
    Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho, and Alice Oh
    NAACL Findings, 2022