3 accepted papers
Accurate forecasting of resource consumption, such as gas, is essential for efficient energy management, cost reduction, and sustainability. Time series forecasting (TSF) techniques like recurrent neural networks (RNNs), convolutional networks (TCNs), and Transformers have been employed to model com…
Multivariate time series forecasting has become increasingly crucial in fields such as energy and transportation. Recent research has focused on local lag relationships across variates, yielding impressive results. However, these methods typically require pre-calculating lag indicators and steps bet…
The zero-shot retrieval task aims to retrieve the most relevant documents to a user’s query without relevance labels. Current approaches expand input queries by generating pseudo-documents with large language models (LLMs) and perform document retrieval based on the expanded queries. However, their…