4 papers
Knowledge-Augmented Large Language Model Agents for Explainable Financial Decision-Making
Qingyuan Zhang, Yuxi Wang, Cancan Hua +2
This study investigates an explainable reasoning method for financial decision-making based on knowledge-enhanced large language model agents. To address the limitations of traditi…
Accident Anticipation via Temporal Occurrence Prediction
Tianhao Zhao, Yiyang Zou, Zihao Mao +7
Accident anticipation aims to predict potential collisions in an online manner, enabling timely alerts to enhance road safety. Existing methods typically predict frame-level risk s…
TimeHF: Billion-Scale Time Series Models Guided by Human Feedback
Yongzhi Qi, Hao Hu, Dazhou Lei +6
Time series neural networks perform exceptionally well in real-world applications but encounter challenges such as limited scalability, poor generalization, and suboptimal zero-sho…
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting
Jiaheng Yin, Zhengxin Shi, Jianshen Zhang +4
In recent years, numerous Transformer-based models have been applied to long-term time-series forecasting (LTSF) tasks. However, recent studies with linear models have questioned t…