Guijin Son

According to our database, Guijin Son authored at least 25 papers between 2023 and 2025.

Collaborative distances:

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

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

Controlling Language Confusion in Multilingual LLMs.

Nahyun Lee, Yeongseo Woo, Hyunwoo Ko, Guijin Son

CoRR, May, 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

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

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

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

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