A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
<|reference_start|>A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems: 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.<|reference_end|>
@article{yi2024a,
    title={A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems},
    author={Zihao Yi, Jiarui Ouyang, Yuwen Liu, Tianhao Liao, Zhe Xu and Ying Shen},
    journal={arXiv preprint arXiv:2402.18013},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.18013},
    primaryClass={cs.CL cs.AI}
}