AI RESEARCH
From Reactive to Proactive: Assessing the Proactivity of Voice Agents via ProVoice-Bench
arXiv CS.AI
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ArXi:2604.15037v1 Announce Type: new Recent advancements in LLM agents are gradually shifting from reactive, text-based paradigms toward proactive, multimodal interaction. However, existing benchmarks primarily focus on reactive responses, overlooking the complexities of proactive intervention and monitoring. To bridge this gap, we