IndiKLAR shows code-mixed inputs close the ~0.50 native-to-English LLM accuracy gap to within ~0.05, with a consistent performance flip point between native and code-mixed settings.
Yihong Liu, Bingyu Xiong, and Hinrich Schütze
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Evaluating Cross-lingual Knowledge Consistency in Code-Mixed vis-a-vis Indian Languages using IndicKLAR
IndiKLAR shows code-mixed inputs close the ~0.50 native-to-English LLM accuracy gap to within ~0.05, with a consistent performance flip point between native and code-mixed settings.