Quantifying and Mitigating Korean Jamo-Level Typographical Vulnerabilities in Large Language Models

arXiv:2608.30229 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/SJLee0311/korean-jamo-typo

Terminology

Accuracy — 42× in this paper · explained in 1 episode
Robustness — 22× in this paper · explained in 5 episodes
Benchmark — 15× in this paper · explained in 2 episodes
Linear probe — 4× in this paper · explained in 2 episodes
Transformer — 4× in this paper · explained in 2 episodes
Calibration — 3× in this paper · explained in 7 episodes
Metacognition — 3× in this paper · explained in 5 episodes
Typo-Aware Chain-of-Thought — 2× in this paper
Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
Chain-of-Thought (CoT) Prompting — 1× in this paper · explained in 3 episodes
Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Error Taxonomy — 1× in this paper · explained in 2 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generalization — 1× in this paper · explained in 13 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Regularization — 1× in this paper · explained in 3 episodes
Tokenization — 1× in this paper · explained in 2 episodes
Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

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