Scholar
Guijin Son
Google Scholar ID: Zf_eLDsAAAAJ
Undergraduate, Yonsei University
Natural Language Processing
Large Language Models
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Citations & Impact
All-time
Citations
275
H-index
9
i10-index
9
Publications
20
Co-authors
5
list available
Contact
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Publications
19 items
Judging What We Cannot Solve: A Consequence-Based Approach for Oracle-Free Evaluation of Research-Level Math
2026
Cited
0
What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models
arXiv.org · 2026
Cited
1
Revisiting the UID Hypothesis in LLM Reasoning Traces
2025
Cited
0
Revisiting the Uniform Information Density Hypothesis in LLM Reasoning Traces
2025
Cited
0
Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
2025
Cited
0
KAIO: A Collection of More Challenging Korean Questions
2025
Cited
0
Ko-PIQA: A Korean Physical Commonsense Reasoning Dataset with Cultural Context
2025
Cited
0
From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation
2025
Cited
0
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Resume (English only)
Academic Achievements
2025: Papers 'KMMLU-Pro' and 'Multi-LMentry' accepted to EMNLP 2025
2025: 'Linguistic Generalizability' (Oral) and 'FinKRX' (Industry Track) accepted to ACL 2025
2025: 'Robustness of Reward Models' accepted to ICML 2025
2025: 'BiGGen Bench' and 'KMMLU' accepted to NAACL 2025
2025: 'BiGGen Bench' awarded Best Paper at NAACL 2025
2024: 'Multitask Inference' accepted to ACL 2024
2024: 'HAE-RAE Bench' accepted to LREC-COLING 2024
Multiple preprints under review on multilingual reasoning, scientific verification benchmark (SPOT), and multilingual meta-evaluation (MM-Eval)
Background
Co-Founder at OneLine AI
Lead of HAE-RAE, an open-source research group focused on Korean NLP
Research interests: AI for Science, evaluation and reasoning with language models, multimodal reasoning, and agentic systems
Current goal: building stronger reasoning models and developing metrics to demonstrate real progress
Past projects include Korean knowledge and professional benchmarks, reward model evaluation, and financial applications of LLMs
Teaches at Fast Campus and SSAFY; contributes to curriculum development with Codeit and Code States; mentors at Upstage
Co-authors
5 total
Seungone Kim
Carnegie Mellon University
Stella Biderman
EleutherAI
Niklas Muennighoff
Stanford University
Jiwoo Hong
KAIST AI
James Thorne
KAIST
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