AIBullisharXiv – CS AI · 7h ago7/10
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EVIL: Evolving Interpretable Algorithms for Zero-Shot Inference on Event Sequences and Time Series with LLMs
Researchers introduce EVIL, an LLM-guided evolutionary approach that discovers interpretable Python algorithms for zero-shot inference on time series and event sequences without traditional neural network training. The evolved algorithms match or exceed deep learning performance while remaining transparent and significantly faster, demonstrating a novel paradigm for dynamical systems inference.