5 papers
TS-RAG: Retrieval Augmented Generation for Time Series Forecasting
Yixiong Xiao, Congxi Xiao, Jingbo Zhou
While deep learning models, particularly transformer-based architectures, have shown impressive performance in time series forecasting, the application of retrieval-augmented gener…
Temporal Bridges for Spatial Resolution: Enhancing Climate Data Super-Resolution with Bidirectional Alignment
Yichen Zhang, Yixiong Xiao, Congxi Xiao +1
High-resolution climate data is crucial for meteorological predictions and for informing decision support across diverse domains. However, the acquisition of such high-resolution c…
Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models
Wei Wu, Liyi Chen, Congxi Xiao +7
Large reasoning models enhanced by reinforcement learning with verifiable rewards have achieved significant performance gains by extending their chain-of-thought. However, this par…
OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution
Le Zhang, Yixiong Xiao, Xinjiang Lu +12
Graphical User Interface (GUI) agents show great potential for enabling foundation models to complete real-world tasks, revolutionizing human-computer interaction and improving hum…
TimeFound: A Foundation Model for Time Series Forecasting
Congxi Xiao, Jingbo Zhou, Yixiong Xiao +3
We present TimeFound, an encoder-decoder transformer-based time series foundation model for out-of-the-box zero-shot forecasting. To handle time series data from various domains, T…