Guijin Son

Co-Founder @ OneLine AI, MS/PhD @ SNU

guijin.son@snu.ac.kr

About

Hello. I am Guijin Son, co-founder at OneLine AI and lead of HAE-RAE, an open source research group focused on Korean NLP. I am interested in AI for Science, with a focus on evaluation and reasoning with language models. My current goal is to build stronger reasoning models and the measurements that prove real progress.

I am currently also interested in multimodal reasoning and agentic systems. Past projects include analyzing Korean knowledge and professional benchmarks, evaluating reward models, and exploring financial applications of LLMs.

I also teach and mentor: lectures at Fast Campus, Multicampus, Hackers, and SSAFY, curriculum work with Codeit and Code States, and mentorship at Upstage.

HAE-RAE Fast Campus CODED Samsung SAFI Upstage Code States Multicampus Hackers Campus
News
Aug 2026     Our LaRA and K-BrowseComp were accepted to EMNLP 2026 (Findings).
May 2026     Our Judging What We Cannot Solve was accepted to ICML 2026 as a Spotlight.
Apr 2026     Our HAERAE-Vision and UID Hypothesis were accepted to ACL 2026 (Findings).
Nov 2025     Our LM-CoT was accepted to ICLR 2026.
Nov 2025     I got admitted as an MS & PhD integrated student at Seoul National University. I will be continuing my research at SNU PI Lab advised by Youngjae Yu
Show older newsHide older news
Nov 2025     Our KMMLU-Pro and Multi-LMentry paper were accepted to EMNLP 2025.
Jul 2025     Our Linguistic Generalizability (Oral) and FinKRX (Industry) were accepted to ACL 2025.
Jul 2025     Our Robustness of Reward Models was accepted to ICML 2025.
Apr 2025     Our BiGGen Bench and KMMLU were accepted to NAACL 2025.
Apr 2025     Our BiGGen Bench was selected for the Best Paper Award at NAACL 2025.
Aug 2024     Our Multitask Inference was accepted to ACL 2024.
May 2024     Our HAE-RAE Bench was accepted to LREC-COLING 2024.
Education

Seoul National University, Dept. of Computer Science and Engineering 2026 -

Yonsei University, Underwood International College (UIC) 2020 – 2025

B.S., Economics.

Publications First author / All
2026

ResearchMath-14K: Scaling Research-Level Mathematics via Agents

Guijin Son, Seungyeop Yi, Minju Gwak, Hyunwoo Ko, Wongi Jang, Youngjae Yu

Preprint (Under Review)

Soohak: A Mathematician-Curated Benchmark for Evaluating Research-Level Math Capabilities of LLMs

Guijin Son, Seungone Kim, Catherine Arnett, Hyunwoo Ko, Hyein Lee, Hyeonah Kang, Jiang Longxi, Jin Yun, JungYup Lee, Kyungmin Lee, Sam Yoosuk Kim, Sang Park, Seunghyeok Hong, SeungJae Lee, Seungyeop Yi, Shinae Shin, SunHye Bok, Sunyoung Shin, Yonghoon Ji, Youngtaek Kim, Hanearl Jung, Akari Asai, Graham Neubig, Sean Welleck, Youngjae Yu, Alexander B. Ivanov, Boboev Muhammadjon, Chae Young Han, Christian Stump, Cooper R. Anderson, Dmitrii Karp, Dohyun Kwon, Dongryung Yi, DoYong Kwon, Duk-Soon Oh, Eunho Choi, Giovanni Resta, Greta Panova, Huiyun Noh, Hyungryul Baik, Hyungsun Bae, Inomov Mashrafdzhon, Jeewon Kim, Jeong-Rae Kim, Ji Eun Lee, Jiaqi Liu, Jieui Kang, Jimin Kim, Jon-Lark Kim, Joonyeong Won, Junseo Yoon, Junwoo Jo, Kibeom Kim, Kiwoon Kwon, Mario Kummer, Max Mercer, Min Hoon Kim, Minjun Kim, Nahyun Lee, Ng Ze-An, Nicolas Libedinsky, Rafał Marcin Łochowski, Raphaël Lachièze-Rey, Robert Auffarth, Ruichen Zhang, Sejin Park, Seonguk Seo, Shin Jaehoon, Taewoong Eom, Yeachan Park, Yongseok Jang, Youchan Oh, Zhaoyang Wang, Zoltán Kovács

Preprint (Under Review)

LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training

Minju Gwak, Minseo Kwak, Dongseok Lee, Guijin Son, Alan Ritter, Jaehyung Kim

EMNLP 2026 (Findings)

K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts

Nahyun Lee, Dongkeun Yoon, Guijin Son, Geewook Kim, Dayoon Ko, Jeonghun Park, Haneul Yoo, Jaewon Cho, Junghun Park, Changyoon Lee, Kyochul Jang, Jaeyeon Kim, Eunsu Kim, Seungone Kim

EMNLP 2026 (Findings)

Judging What We Cannot Solve: A Consequence-Based Approach for Oracle-Free Evaluation of Research-Level Math

Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, Hyunwoo Ko, Amit Agarwal, Sunghee Ahn, Kyong-Ha Lee, Youngjae Yu

ICML 2026 (Spotlight)

Revisiting the Uniform Information Density Hypothesis in LLM Reasoning Traces

Minju Gwak, Guijin Son, Jaehyung Kim

ACL 2026 (Findings)

What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models

Dasol Choi, Guijin Son, Hanwool Lee, Minhyuk Kim, Hyunwoo Ko, Teabin Lim, Ahn Eungyeol, Jungwhan Kim, Seunghyeok Hong, Youngsook Song

ACL 2026 (Findings)

Redefining Evaluation Standards: A Unified Framework for Evaluating the Korean Capabilities of Language Models

Hanwool Lee, Dasol Choi, Sooyong Kim, Ilgyun Jeong, Sangwon Baek, Guijin Son, Inseon Hwang, Naeun Lee, Seunghyeok Hong

LREC 2026

Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought

Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, Amit Agarwal, Hyunwoo Ko, Chanuk Lim, Srikant Panda, Minhyuk Kim, Nikunj Drolia, Dasol Choi, Kyong-Ha Lee, Youngjae Yu

ICLR 2026

KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context

Nahyun Lee, Guijin Son, Hyunwoo Ko, Chanyoung Kim, JunYoung An, Kyubeen Han, Il-Youp Kwak

Preprint Under Review

2025

From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation

Seokhee Hong, Sunkyoung Kim, Guijin Son, Soyeon Kim, Yeonjung Hong, Jinsik Lee

EMNLP 2025

Multi-LMentry: Can Multilingual LLMs Solve Elementary Tasks Across Languages?

Luca Moroni, Javier Aula-Blasco, Simone Conia, Irene Baucells, Naiara Perez, Silvia Paniagua Suárez, Anna Sallés, Malte Ostendorff, Júlia Falcão, Guijin Son, Aitor Gonzalez-Agirre, Roberto Navigli, Marta Villegas

EMNLP 2025

On the Robustness of Reward Models for Language Model Alignment

Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne

ICML 2025

FINKRX: Establishing Best Practices for Korean Financial NLP

Guijin Son, Hyunwoo Ko, Hanearl Jung, Chami Hwang

ACL 2025 Industry Track

Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning

Guijin Son, Jiwoo Hong, Hyunwoo Ko, James Thorne

ACL 2025 (Oral)

KMMLU: Measuring Massive Multitask Language Understanding in Korean

Guijin Son, Hanwool Lee, Sungdong Kim, Seungone Kim, Niklas Muennighoff, Taekyoon Choi, Cheonbok Park, Kang Min Yoo, Stella Biderman

NAACL 2025

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models

Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Cho, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hansoek Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo

NAACL 2025 (Best Paper)

BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation

Eunsu Kim, Haneul Yoo, Guijin Son, Hitesh Patel, Amit Agarwal, Alice Oh

Preprint Under Review

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research

Guijin Son, Jiwoo Hong, Honglu Fan, Heejeong Nam, Hyunwoo Ko, Seungwon Lim, Jinyeop Song, Jinha Choi, Gonçalo Paulo, Youngjae Yu, Stella Biderman

Preprint Under Review

2024

MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models

Guijin Son*, Dongkeun Yoon*, Juyoung Suk, Javier Aula-Blasco, Mano Aslan, Vu Trong Kim, Shayekh Bin Islam, Jaume Prats-Cristià, Lucía Tormo-Bañuelos, Seungone Kim

Preprint Under Review

Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?

Guijin Son, Sangwon Baek, Sangdae Nam, Ilgyun Jeong, Seungone Kim

ACL 2024

HAE-RAE Bench: Evaluation of Korean Knowledge in Language Models

Guijin Son, Hanwool Lee, Suwan Kim, Huiseo Kim, Jaecheol Lee, Je Won Yeom, Jihyu Jung, Jung Woo Kim, Songseong Kim

LREC-COLING 2024

( * indicates equal contribution )

Vitæ

Full CV in PDF.