InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs 事件

InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs arXiv:2606.08601v1 Announce Type: new Abstract: Large Language Models (LLMs) have recently demonstrated impressive potential for time series forecasting. However, existing methods predominantly rely on passive modality alignment or static task reprogramming, which often fail to capture fine-grained, non-stationary temporal patterns or to adapt to nuanced task intents. In this paper, we propose Instruction-aware Ac