6 papers
Chain-of-thought Reviewing and Correction for Time Series Question Answering
Chen Su, Yuanhe Tian, Yan Song
With the advancement of large language models (LLMs), diverse time series analysis tasks are reformulated as time series question answering (TSQA) through a unified natural languag…
Text Reinforcement for Multimodal Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song +1
Recent studies in time series forecasting (TSF) use multimodal inputs, such as text and historical time series data, to predict future values. These studies mainly focus on develop…
Diffusion Models for Time Series Forecasting: A Survey
Chen Su, Zhengzhou Cai, Yuanhe Tian +3
Diffusion models, initially developed for image synthesis, demonstrate remarkable generative capabilities. Recently, their application has expanded to time series forecasting (TSF)…
Fusing Large Language Models with Temporal Transformers for Time Series Forecasting
Chen Su, Yuanhe Tian, Qinyu Liu +2
Recently, large language models (LLMs) have demonstrated powerful capabilities in performing various tasks and thus are applied by recent studies to time series forecasting (TSF) t…
Computed Tomography Visual Question Answering with Cross-modal Feature Graphing
Yuanhe Tian, Chen Su, Junwen Duan +1
Visual question answering (VQA) in medical imaging aims to support clinical diagnosis by automatically interpreting complex imaging data in response to natural language queries. Ex…
Multimodal Conditioned Diffusive Time Series Forecasting
Chen Su, Yuanhe Tian, Yan Song
Diffusion models achieve remarkable success in processing images and text, and have been extended to special domains such as time series forecasting (TSF). Existing diffusion-based…