Papers with intent clustering methods
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialogues (2025.emnlp-main)
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| Challenge: | Existing intent clustering methods rely on embedding distance metrics and neglect of underlying semantic structures. |
| Approach: | They propose an LLM-in-the-loop framework that integrates language understanding capabilities into conventional clustering algorithms. |
| Outcome: | The proposed framework outperforms baselines in Chinese and improves quality, cost efficiency and downstream applications. |