AINeutralarXiv – CS AI · 18h ago6/10
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InA-Probe: Instruction-Aware Active Probing for Time Series Forecasting with LLMs
Researchers propose InA-Probe, a novel framework that enables Large Language Models to perform time series forecasting through instruction-aware active probing rather than passive alignment. The method achieves up to 37% error reduction on cross-domain benchmarks and demonstrates strong generalization and zero-shot transfer capabilities.