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Yong-Zong Wang

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#artificial intelligence Preprint Sep 2026

PACE: Perceived-Latency-Aware Cascading Service Routing and Filler Control for QoE-Efficient Retrieval-Augmented Dialogue Serving

The PACE is presented, a framework for retrieval-augmented dialogue serving that formalizes Perceived Time-to-First-Response (PTFR) as a QoE objective and minimizes it under quality/cost constraints and is the first quantification of filler-answer conflict risk in deployed services.

Ling Huang, Yujuan Tan, Wei-Sheng Li et al. · 0 citations

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