AI RESEARCH
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models
arXiv CS.AI
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ArXi:2509.26388v3 Announce Type: replace-cross Conversational Spoken Language Models (SLMs) are emerging as a promising paradigm for real-time speech interaction. However, their capacity of temporal dynamics, including the ability to manage timing, tempo and simultaneous speaking, remains a critical and unevaluated challenge for conversational fluency. To address this gap, we