Learning When to Think While Listening in Large Audio-Language Models 事件

Learning When to Think While Listening in Large Audio-Language Models arXiv:2605.27190v1 Announce Type: new Abstract: Recent advances in Large Audio-Language Models (LALMs) have made real-time, streaming spoken interaction increasingly practical. In this setting, reasoning quality and responsiveness are tightly coupled: delaying reasoning until the speech endpoint can improve answer quality but moves deliberation into user-visible response delay, while answering too early risks committing befor