SOURCE-LINKED INTELLIGENCE
Quantifying and Mitigating Korean Jamo-Level Typographical Vulnerabilities in Large Language Models
Korean introduces an additional typographical perturbation level not captured by ordinary character-level edit models: because syllable blocks are internally composed of sub-character units called jamo, keyboard-level errors can occur within a syllable, either producing a valid but semantically altered character or exposing raw jamo on the surface. Both outcomes disrupt sub-word tokenization and are not reliably corrected by existing grammatical error correction pipelines, leaving LLMs directly exposed to corrupted inputs. To quantify this vulnerability, we apply five jamo-level perturbation t
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T04:28:14.000Z
First collected: 2026-09-21T07:22:03.933Z. This is not the publication date.