2 papers
cs.CL2025
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
Haoran Fan, Bin Li, Yixuan Weng +1
While LLMs have demonstrated remarkable potential in time series forecasting, their practical deployment remains constrained by excessive computational demands and memory footprint…
cs.LG2024
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey
Yang Gu, Hengyu You, Jian Cao +3
Building effective machine learning (ML) workflows to address complex tasks is a primary focus of the Automatic ML (AutoML) community and a critical step toward achieving artificia…