AI RESEARCH
Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
arXiv CS.CV
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ArXi:2603.03447v2 Announce Type: replace Proactive and real-time interactive experiences are essential for human-like AI companions, yet face three key challenges: (1) achieving low-latency inference under continuous streaming inputs, (2) autonomously deciding when to respond, and (3) controlling both quality and quantity of generated content to meet real-time constraints. In this work, we instantiate AI companions through two gaming scenarios, commentator and guide, selected for their suitability for automatic evaluation. We.