Direct Preference Optimization for English-Mandarin Code-Switching Speech Recognition in Audio LLMs
Direct Preference Optimization (DPO) is applied to align models, constructing preference pairs in which chosen responses preserve mixed-language content while rejected responses mimic failure patterns, suggesting DPO can effectively elicit correct code-switching transcription behavior from multilingual Audio LLMs.