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LoCar: Localization-Aware Evaluation of In-Vehicle Assistants through Fine-Grained Sociolinguistic Control
通过细粒度社会语言学控制来评估车载助手的本地化感知能力，为语音交互模型提供新评估视角。
arXiv:2605.21086v1 Announce Type: new Abstract: While Large Language Models (LLMs) are increasingly integrated into in-vehicle conversational systems,…