Scaling Law for Time Series Forecasting

1 code implementation • 24 May 2024 • Jingzhe Shi, Qinwei Ma, Huan Ma, Lei LI

We take into account the impact of dataset size and model complexity, as well as time series data granularity, particularly focusing on the look-back horizon, an aspect that has been unexplored in previous theories.

Time Series Time Series Forecasting

CHOPS: CHat with custOmer Profile Systems for Customer Service with LLMs

1 code implementation • 31 Mar 2024 • Jingzhe Shi, Jialuo Li, Qinwei Ma, Zaiwen Yang, Huan Ma, Lei LI

We have conducted extensive experiments to validate the performance of our proposed CHOPS architecture using the CPHOS-dataset, with the aim of demonstrating how LLMs can enhance or serve as alternatives to human customer service.

Large Trajectory Models are Scalable Motion Predictors and Planners

1 code implementation • 30 Oct 2023 • Qiao Sun, Shiduo Zhang, Danjiao Ma, Jingzhe Shi, Derun Li, Simian Luo, Yu Wang, Ningyi Xu, Guangzhi Cao, Hang Zhao

STR reformulates the motion prediction and motion planning problems by arranging observations, states, and actions into one unified sequence modeling task.

Autonomous Driving Language Modelling +2