most citedEvaluating Robustness of Vision-Language Models Under Noisy Conditions

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cs.CL2026

grapheme-kit: Grapheme-Level Metrics and Text Processing for Multilingual NLP

Izzath Nisfer, Ashini Kavindya, Ovindu Atukorala +2

Existing lexical distance, similarity, and evaluation metrics operate on Unicode code points, which can misrepresent errors in writing systems where a single grapheme is represente…