Scalable and Cost Effective High-Cardinality Classification with LLMs via Multi-View Label Representations and Retrieval Augmentation (2025.emnlp-industry)
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| Challenge: | Existing methods for labeling contact center interactions show significant inconsistencies and sensitivity to label ordering. |
| Approach: | They propose a two-step retrieval-augmented classification framework enhanced with a multi-view representation of labels. |
| Outcome: | The proposed method significantly improves accuracy and consistency over baseline methods. |
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