An LLM-enhanced HMM generates intent-aware multilingual e-commerce dialogues, and a contrastive multi-task classifier (MINT-CL) improves multi-turn intent classification accuracy by about 0.5 percent on average.
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From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification
An LLM-enhanced HMM generates intent-aware multilingual e-commerce dialogues, and a contrastive multi-task classifier (MINT-CL) improves multi-turn intent classification accuracy by about 0.5 percent on average.