A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
It synthesizes existing knowledge for researchers and practitioners, but is incremental as a survey paper.
This survey reviews recent research on multi-turn dialogue systems, focusing on large language models (LLMs), covering open-domain and task-oriented systems, datasets, and evaluation metrics.
This survey provides a comprehensive review of research on multi-turn dialogue systems, with a particular focus on multi-turn dialogue systems based on large language models (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.