3 accepted papers
Variable Subset Forecasting (VSF) presents a critical challenge where variable availability fluctuates between the training and inference stages. This paper introduces a novel solution to the underexplored VSF problem, seamlessly integrating with existing variate-wise attention architectures. Our ap…
In recent years, long-range time series forecasting has been actively studied and has shown promising results. However, since these methods mainly focus on predicting time series with a fixed dimension, they are inapplicable to the large-scale and ever-changing datasets that are common in real-world…
Multi-hop question answering (QA) is a challenging task that requires complex reasoning over multiple documents. Existing works commonly introduce techniques such as graph modeling and question decomposition to explore precise intermediate results of multi-hop reasoning, leading to complexity growth…