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Intent-Driven Dialogue Generation Framework by Azure is a document available to read on EtoBox.

The paper presents a novel framework called Chain-of-Intent for generating intent-driven, context-aware dialogues in multi-turn conversations, integrating Hidden Markov Models (HMMs) with Large Language Models (LLMs). It introduces MINT-CL, a multi-task contrastive learning framework that enhances multi-turn intent classification accuracy while reducing reliance on large annotated datasets, and releases MINT-E, a comprehensive multilingual dialogue corpus for e-commerce. Empirical results show that the prop

Author

Azure

Language

EN