CONCORD recovers conversation context in privacy-preserving AI assistants via spatio-temporal resolution, gap detection, and minimal relationship-aware A2A exchanges, achieving 91.4% gap recall, 96% relationship accuracy, and 97% true negative disclosure rate.
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ProAgent uses on-demand tiered perception and context-aware LLM reasoning to deliver proactive assistance on AR glasses, achieving up to 27.7% higher prediction accuracy and 20.5% lower false detections than baselines.
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Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI
CONCORD recovers conversation context in privacy-preserving AI assistants via spatio-temporal resolution, gap detection, and minimal relationship-aware A2A exchanges, achieving 91.4% gap recall, 96% relationship accuracy, and 97% true negative disclosure rate.
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ProAgent: Harnessing On-Demand Sensory Contexts for Proactive LLM Agent Systems in the Wild
ProAgent uses on-demand tiered perception and context-aware LLM reasoning to deliver proactive assistance on AR glasses, achieving up to 27.7% higher prediction accuracy and 20.5% lower false detections than baselines.