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Staged Linguistic Seeding: Grounded Query Expansion for Verified-Unit QA in AI Contact Centers
Customer-service QA in an AI contact center (AICC) runs under deployment constraints that benchmark QA misses: tight voice-hotline latency and a high cost for unsupported or wrong automatic answers. We deploy a system that answers only from a closed set of verified QA units: it returns a retrieved u
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