Dataset-adaptive post-processing of LLM-generated customer intents reduces duplication and improves utility for customer intent extraction
Read the original at arxiv.org→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...
Original headline: "From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents"
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- Oct 8, 04:00 UTC arXiv cs.AI lead source From High Recall to High Utility: Dataset-Adaptive Post-Processing of LLM-Generated Customer Intents