Jiho Jin
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
- World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models (CVPR 2026)
- Eunsu Kim*, Junyeong Park*, Na Min An*, Junseong Kim**, Hitesh Laxmichand Patel**, Jiho Jin**, Julia Kruk, Amit Agarwal, Srikant Panda, Fenal Ashokbhai Ilasariya, Hyunjung Shim, Alice Oh
- arXiv
- Open Korean Historical Corpus: A Millennia-Scale Diachronic Collection of Public Domain Texts (LREC 2026)
- Seyoung Song, Nawon Kim, Songeun Chae, Kiwoong Park, Jiho Jin, Haneul Yoo, Kyunghyun Cho, Alice Oh
- arXiv
- FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation (EACL-Findings 2026)
- Juhyun Oh*, Nayeon Lee*, Chani Jung, Jiho Jin, Junho Myung, Jongwon Lee, Taieui Song, Alice Oh
- Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents (IJCNLP-AACL-Findings 2025)
- Seyoung Song, Haneul Yoo, Jiho Jin, Kyunghyun Cho, Alice Oh
- arXiv
- MUG-Eval: A Proxy Evaluation Framework for Multilingual Generation Capabilities in Any Language (EMNLP-Findings 2025)
- Seyoung Song*, Seogyeong Jeong*, Eunsu Kim, Jiho Jin, Dongkwan Kim, Jay Shin, Alice Oh
- arXiv
- Social Bias Benchmark for Generation: A Comparison of Generation and QA-Based Evaluations (ACL-Findings 2025)
- Survey of Cultural Awareness in Language Models: Text and Beyond (CL 2025)
- Siddhesh Pawar*, Junyeong Park*, Jiho Jin, Arnav Arora, Junho Myung, Srishti Yadav, Faiz Ghifari Haznitrama, Inhwa Song, Alice Oh, Isabelle Augenstein
- Presentation @ ACL 2025
- arXiv
- BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages (NeurIPS D&B 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 Webpage
- Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models (EMNLP 2024)
- Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim
- arXiv
- 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, Jose Camacho-Collados, 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)
- Translating Hanja Historical Documents to Contemporary Korean and English (EMNLP-Findings 2022)
- Models and Benchmarks for Representation Learning of Partially Observed Subgraphs (CIKM 2022)
- Dongkwan Kim, Jiho Jin, Jaimeen Ahn, 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, 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, Alice Oh
- Paper
Others
- JuICE: A Benchmark for Evaluating LLM-Judge in Identifying Cultural Errors (2026)
- SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures (2026)
- Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros, Jiho Jin, Amr Keleg, Meriem Beloucif, Yi Zhou, Rodrigo Agerri, Vladimir Araujo, Naomi Baes, James Barry, Joanne Boisson, Nancy F. Chen, Christine de Kock, Aleksandra Edwards, Joseba Fernandez de Landa, Mohamed Fazli Imam, Huda Hakami, Shu-Kai Hsieh, Joseph Marvin Imperial, Roy Ka-Wei Lee, Zhengyuan Liu, Chenyang Lyu, Younes Samih, Johan Sjons, Bryan Tan, Asahi Ushio, Weihua Zheng, Alice Oh, Jose Camacho-Collados
- arXiv
- Code-Switching In-Context Learning for Cross-Lingual Transfer of Large Language Models (2025)
- Haneul Yoo, Jiho Jin, Kyunghyun Cho, Alice Oh
- arXiv
- Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models (2025)
- Haeun Yu, Seogyeong Jeong, Siddhesh Pawar, Jisu Shin, Jiho Jin, Junho Myung, Alice Oh, Isabelle Augenstein
- arXiv
- HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja (2025)
- Seyoung Song, Haneul Yoo, Jiho Jin, Kyunghyun Cho, Alice Oh
- 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 @ L3MNGET @ EDM 2024
- Presentation @ HuCLLM @ ACL 2024
- arXiv
Academic Services
- Co-Lead Organizer, SemEval 2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures
- Organizer, KAIST AI Workshop 21/22
- Student Volunteer, FAccT (2022), COLING (2022), ACL (2024)
- Reviewer, NeurIPS (2022), NeurIPS D&B (2024), ICML (2023, 2024), ARR (2024, 2025, 2026), FAccT (2026)
- Outstanding Reviewer Award @ EMNLP 2025 (ARR May 2025)
Teaching Experiences
- Teaching Assistant, Introduction to Programming (Spring 2022, Fall 2022, Spring 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025)
- Teaching Assistant, Machine Learning for Natural Language Processing (Fall 2023)
- Teaching Assistant, KAIST SoC Colloquium (Fall 2021)