KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs

arXiv:2510.18368 · cs.CL · Submitted 2025-10-21 · Read on arXiv

cs.CL

Submitted: 2025-10-21

Updated: 2026-09-11

Comments: Accepted at COLM 2026. Camera-ready version

Code: https://github.com/naver-ai/KoSimpleQA

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 24× in this paper · explained in 2 episodes
• Not Attempted — 4× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Thinking mode — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Grounding — 2× in this paper · explained in 3 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Abstention — 1× in this paper · explained in 1 episode
• Annotation Errors — 1× in this paper · explained in 1 episode
• Catastrophic Forgetting — 1× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes

Sources

• Gemma 3 Technical Report
• Measuring short-form factuality in large language models
• Qwen3 Technical Report
• HyperCLOVA X Technical Report
• Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
• GPT-4o System Card
• Scaling Laws for Neural Language Models
• EXAONE 3.5: Series of Large Language Models for Real-world Use Cases
• EXAONE Deep: Reasoning Enhanced Language Models

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