A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

no code implementations • 28 Feb 2024 • Zihao Yi, Jiarui Ouyang, YuWen Liu, Tianhao Liao, Zhe Xu, Ying Shen

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).

Fast Wireless Sensor Anomaly Detection based on Data Stream in Edge Computing Enabled Smart Greenhouse

no code implementations • 28 Jul 2021 • Yihong Yang, Sheng Ding, YuWen Liu, Shunmei Meng, Xiaoxiao Chi, Rui Ma, Chao Yan

However, traditional anomaly detection algorithms originally designed for anomaly detection in static data have not properly considered the inherent characteristics of data stream produced by wireless sensor such as infiniteness, correlations and concept drift, which may pose a considerable challenge on anomaly detection based on data stream, and lead to low detection accuracy and efficiency.

Anomaly Detection Decision Making +1