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A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems (2402.18013v1)

Published 28 Feb 2024 in cs.CL and cs.AI

Abstract: This survey provides a comprehensive review of research on multi-turn dialogue systems, with a particular focus on multi-turn dialogue systems based on LLMs. This paper aims to (a) give a summary of existing LLMs and approaches for adapting LLMs to downstream tasks; (b) elaborate recent advances in multi-turn dialogue systems, covering both LLM-based open-domain dialogue (ODD) and task-oriented dialogue (TOD) systems, along with datasets and evaluation metrics; (c) discuss some future emphasis and recent research problems arising from the development of LLMs and the increasing demands on multi-turn dialogue systems.

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Authors (6)
  1. Zihao Yi (3 papers)
  2. Jiarui Ouyang (2 papers)
  3. Yuwen Liu (3 papers)
  4. Tianhao Liao (1 paper)
  5. Zhe Xu (199 papers)
  6. Ying Shen (76 papers)
Citations (31)
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