From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents
arXiv:2610.09039v1 Announce Type: new Abstract: Large language models can extract useful signals from heterogeneous enterprise data, but high-recall extraction often produces outputs that are duplicated, uneven in granularity, semantically overlapping, or too numerous for downstream systems and hum…
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- 2026-10-08 04:00 · arXiv cs.AI
From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents