About

Hi, I am a Ph.D. student at Users & Information Lab. @ KAIST, advised by Alice Oh.

Education

• Ph.D. in Computer Science, KAIST, Sep 2022 -
• M.S. in Computer Science, KAIST, Mar 2021 - Aug 2022
• B.S. in Computer Science, KAIST, Mar 2016 - Feb 2021
• B.S. in Mathematical Sciences, KAIST, Mar 2016 - Feb 2021

Experience

• NAVER AI Lab
  • Visiting Student (Mar 2023 - Sep 2023)
  • Advisor: Hwaran Lee

Publications

• Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis (NAACL 2024, Oral)
  • Nayeon Lee, Chani Jung^*, Junho Myung^*, Jiho Jin, Juho Kim, Alice Oh
  • Resource Award @ NAACL 2024 Best Paper Awards
  • Presentation @ NLPerspectives @ LREC-COLING 2024
  • Presentation @ WOAH @ NAACL 2024
  • Paper
• KoBBQ: Korean Bias Benchmark for Question Answering (TACL 2024)
  • Jiho Jin^*, Jiseon Kim^*, Nayeon Lee^*, Haneul Yoo^*, Alice Oh, Hwaran Lee
  • Presentation @ ACL 2024
  • Presentation @ C3NLP @ ACL 2024
  • Paper Webpage
• Translating Hanja Historical Documents to Contemporary Korean and English (EMNLP-Findings 2022)
  • Juhee Son^*, Jiho Jin^*, Haneul Yoo, JinYeong Bak, Kyunghyun Cho, Alice Oh
  • arXiv Webpage
• Models and Benchmarks for Representation Learning of Partially Observed Subgraphs (CIKM 2022)
  • Dongkwan Kim, Jiho Jin, Jaimeen Ahn and Alice Oh
  • arXiv
• HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea (NAACL-Findings 2022)
  • Haneul Yoo, Jiho Jin, Juhee Son, JinYeong Bak, Kyunghyun Cho and Alice Oh
  • Paper
• Two-Step Question Retrieval for Open-Domain QA (ACL-Findings 2022)
  • Yeon Seonwoo^*, Juhee Son^*, Jiho Jin, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha and Alice Oh
  • Paper

Others

• Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models (2024)
  • Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim
  • arXiv
• BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages (2024)
  • Junho Myung^*, Nayeon Lee^*, Yi Zhou^*, Jiho Jin, Rifki Afina Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Perez-Almendros, Abinew Ali Ayele, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Hwaran Lee, Shamsuddeen Hassan Muhammad, Kiwoong Park, Anar Sabuhi Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Ousidhoum, Jose Camacho-Collados, Alice Oh
  • Best Paper @ C3NLP 2024
  • Presentation @ C3NLP @ ACL 2024
  • arXiv
• HyperCLOVA X Technical Report (2024)
  • NAVER Cloud HyperCLOVA X Team (Contributor)
  • arXiv
• Learning from Teaching Assistants to Program with Subgoals: Exploring the Potential for AI Teaching Assistants (2023)
  • Changyoon Lee, Junho Myung^*, Jieun Han^*, Jiho Jin^*, Alice Oh
  • Presentation @ Leveraging Large Language Models for Next Generation Educational Technologies Workshop @ EDM 2024
  • Presentation @ HuCLLM @ ACL 2024
  • arXiv

Academic Services

• Reviewer, NeurIPS (2022), NeurIPS D&B (2024), ICML (2023, 2024)
• Volunteer, FAccT (2022), COLING (2022), ACL (2024)
• Organizer, KAIST AI Workshop 21/22

Teaching Experiences

• Teaching Assistant, Introduction to Programming (Spring 2022, Fall 2022, Spring 2023, Spring 2024, Fall 2024)
• Teaching Assistant, Machine Learning for Natural Language Processing (Fall 2023)
• Teaching Assistant, KAIST SoC Colloquium (Fall 2021)