Guijin Son

According to our database, Guijin Son authored at least 36 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

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

CoRR, May, 2026

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

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

CoRR, May, 2026

Self-Improving CAD Generation Agents with Finite Element Analysis as Feedback.

Guijin Son, Jehyun Park, Seyeon Park, Sunghee Ahn, Youngjae Yu

CoRR, May, 2026

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, Akshelin R, 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, Rafal Marcin Lochowski, Raphaël Lachièze-Rey, Robert Auffarth, Ruichen Zhang, Sejin Park, Seonguk Seo, Shin Jaehoon, Sunatullo, Taewoong Eom, Yeachan Park, Yongseok Jang, Youchan Oh, Zhaoyang Wang, Zoltán Kovács

CoRR, May, 2026

Pushing the Boundaries of Multiple Choice Evaluation to One Hundred Options.

Nahyun Lee, Guijin Son

CoRR, April, 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

CoRR, April, 2026

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

CoRR, February, 2026

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

CoRR, January, 2026

2025

Revisiting the UID Hypothesis in LLM Reasoning Traces.

Minju Gwak, Guijin Son, Jaehyung Kim

CoRR, October, 2025

Revisiting the Uniform Information Density Hypothesis in LLM Reasoning Traces.

Minju Gwak, Guijin Son, Jaehyung Kim

CoRR, October, 2025

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

CoRR, October, 2025

KAIO: A Collection of More Challenging Korean Questions.

Nahyun Lee, Guijin Son, Hyunwoo Ko, Kyubeen Han

CoRR, September, 2025

Ko-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context.

Dasol Choi, Jungwhan Kim, Guijin Son

CoRR, September, 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

CoRR, July, 2025

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

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

CoRR, June, 2025

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

CoRR, May, 2025

HRET: A Self-Evolving LLM Evaluation Toolkit for Korean.

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

CoRR, March, 2025

Won: Establishing Best Practices for Korean Financial NLP.

Guijin Son, Hyunwoo Ko, Haneral Jung, Chami Hwang

CoRR, March, 2025

Multi-Step Reasoning in Korean and the Emergent Mirage.

Guijin Son, Hyunwoo Ko, Dasol Choi

CoRR, January, 2025

Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap.

Hyunwoo Ko, Guijin Son, Dasol Choi

CoRR, January, 2025

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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 Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok 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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

FINKRX: Establishing Best Practices for Korean Financial NLP.

Guijin Son, Hyunwoo Ko, Hanearl Jung, Chami Hwang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

Linguistic Generalizability of Test-Time Scaling in Mathematical Reasoning.

Guijin Son, Jiwoo Hong, Hyunwoo Ko, James Thorne

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Controlling Language Confusion in Multilingual LLMs.

Nahyun Lee, Yeongseo Woo, Hyunwoo Ko, Guijin Son

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2024

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training.

Dasol Choi, Guijin Son, Soo Yong Kim, Gio Paik, Seunghyeok Hong

CoRR, 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

CoRR, 2024

LLM-as-a-Judge & Reward Model: What They Can and Cannot Do.

Guijin Son, Hyunwoo Ko, Hoyoung Lee, Yewon Kim, Seunghyeok Hong

CoRR, 2024

ESG Classification by Implicit Rule Learning via GPT-4.

Hyo Jeong Yun, Chanyoung Kim, Moonjeong Hahm, Kyuri Kim, Guijin Son

CoRR, 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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Beyond Classification: Financial Reasoning in State-of-the-Art Language Models.

Guijin Son, Hanearl Jung, Moonjeong Hahm, Keonju Na, Sol Jin

CoRR, 2023

Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance.

Guijin Son, Hanwool Lee, Nahyeon Kang, Moonjeong Hahm

CoRR, 2023