no code implementations • 22 Apr 2024 • Qingyang Wu, Ying Xu, Tingsong Xiao, Yunze Xiao, Yitong Li, Tianyang Wang, Yichi Zhang, Shanghai Zhong, Yuwei Zhang, Wei Lu, Yifan Yang
This study conducts a comprehensive review and analysis of the existing literature on the attitudes of LLMs towards the 17 SDGs, emphasizing the comparison between their attitudes and support for each goal and those of humans.
no code implementations • 15 Feb 2024 • Jing Su, Chufeng Jiang, Xin Jin, Yuxin Qiao, Tingsong Xiao, Hongda Ma, Rong Wei, Zhi Jing, Jiajun Xu, Junhong Lin
This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospective future directions.
no code implementations • 3 Feb 2024 • Tingsong Xiao, Zelin Xu, Wenchong He, Jim Su, Yupu Zhang, Raymond Opoku, Ronald Ison, Jason Petho, Jiang Bian, Patrick Tighe, Parisa Rashidi, Zhe Jiang
Event prediction aims to forecast the time and type of a future event based on a historical event sequence.
1 code implementation • 12 Dec 2023 • Zelin Xu, Tingsong Xiao, Wenchong He, Yu Wang, Zhe Jiang
The problem is challenging due to the sparse and noisy input labels, spatial uncertainty within the label inference process, and high computational costs associated with a large number of sample locations.