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cs.LG2026
LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Models
Jiacheng You, Jingcheng Yang, Yuhang Xie +7
Time-series forecasting in real-world applications such as finance and energy often faces challenges due to limited training data and complex, noisy temporal dynamics. Existing dee…
cs.LG2025
Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
Shijie Zhu, Hui Zhao, Tianshu Wu +4
Although multi-task learning (MTL) has been a preferred approach and successfully applied in many real-world scenarios, MTL models are not guaranteed to outperform single-task mode…