Research

From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents

Single source1 source8 Oct 2026

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

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arxiv.orghttps://arxiv.org/abs/2610.09039

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