From National Curricula to Cultural Awareness: Constructing Open-Ended Culture-Specific Question Answering Dataset

arXiv:2601.04632 · cs.CL, cs.AI · Submitted 2026-01-08 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-01-08

Updated: 2026-08-26

Code: https://github.com/haneul-yoo/cucu

Terminology

• Alignment — 13× in this paper · explained in 1 episode
• LLM-as-a-Judge — 6× in this paper · explained in 3 episodes
• Adaptability — 5× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
• Core — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Lexical Diversity — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes

Sources

• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs
• BERTopic: Neural topic modeling with a class-based TF-IDF procedure
• Textbooks Are All You Need
• A Material Lens on Coloniality in NLP
• Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation
• BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
• GPT-4 Technical Report
• gpt-oss-120b & gpt-oss-20b Model Card
• Qwen3 Technical Report
• Multilingual Large Language Models: A Systematic Survey

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