LoCar is a localization-aware evaluation framework for in-vehicle assistants that identifies unstable Korean honorific control and weaker performance on strategic metrics like clarification and proactivity in current LLMs.
C ul F i T : A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis
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LoCar: Localization-Aware Evaluation of In-Vehicle Assistants through Fine-Grained Sociolinguistic Control
LoCar is a localization-aware evaluation framework for in-vehicle assistants that identifies unstable Korean honorific control and weaker performance on strategic metrics like clarification and proactivity in current LLMs.
- Cross-Lingual Consensus: Aligning Multilingual Cultural Knowledge via Multilingual Self-Consistency