2 papers
cs.IR2025
VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answering
Zhenghan Tai, Hanwei Wu, Qingchen Hu +24
Retrieval-Augmented Generation (RAG) is becoming increasingly essential for Question Answering (QA) in the financial sector, where accurate and contextually grounded insights from…
cs.LG2025
Interpretable Load Forecasting via Representation Learning of Geo-distributed Meteorological Factors
Yangze Zhou, Guoxin Lin, Gonghao Zhang +1
Meteorological factors (MF) are crucial in day-ahead load forecasting as they significantly influence the electricity consumption behaviors of consumers. Numerous studies have inco…