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 unit verbatim, or routes to clarify, abstain, or handoff. The index is enriched offline by staged linguistic seeding (SLS): a human authors a per-unit world-grounded slot recipe, gpt-4.1-mini renders it into variants, and a light human gate filters them. One methodology is reused across both domains, so inference stays a single retrieval pass with no query-time generation. On held-out query vari...
| Authors | Hyeonseop Yoon, Jeong-Eun Park |
|---|---|
| Primary category | cs.CL |
| Published | 1 September 2026 |
| Last updated at source | 7 September 2026 |
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