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

> 全文为英语

**Published:** 2026年10月8日
**Author:** Mahesh Viswanathan, Joan Rossello, Leticia Fernandes, Paul Mutawe
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/from-high-recall-to-high-utility-dataset-adaptive-post-processing-of-llm

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 human reviewers to use…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.09039)

**标签：** #arXiv

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