3 papers
cs.CL2025
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…
cs.CV2025
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…
cs.LG2025
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…