most citedEvaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types

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cs.LG2024

Breaking the Context Bottleneck on Long Time Series Forecasting

Chao Ma, Yikai Hou, Xiang Li +4

Long-term time-series forecasting is essential for planning and decision-making in economics, energy, and transportation, where long foresight is required. To obtain such long fore…

cs.LG2024

Long Input Sequence Network for Long Time Series Forecasting

Chao Ma, Yikai Hou, Xiang Li +2

Short fixed-length inputs are the main bottleneck of deep learning methods in long time-series forecasting tasks. Prolonging input length causes overfitting, rapidly deteriorating…