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cs.LG2026
NeuroLoRA: Context-Aware Neuromodulation for Parameter-Efficient Multi-Task Adaptation
Yuxin Yang, Haoran Zhang, Mingxuan Li +6
Parameter-Efficient Fine-Tuning (PEFT) techniques, particularly Low-Rank Adaptation (LoRA), have become essential for adapting Large Language Models (LLMs) to downstream tasks. Whi…
cs.LG2025
MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models
Yiwen Liu, Chenyu Zhang, Junjie Song +6
As a prominent data modality task, time series forecasting plays a pivotal role in diverse applications. With the remarkable advancements in Large Language Models (LLMs), the adopt…