EVIL evolves single compact Python algorithms via LLM-guided search that enable zero-shot inference on temporal point processes, Markov jump processes, and time series imputation, often matching or exceeding deep learning models while remaining interpretable and orders of magnitude faster.
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EVIL: Evolving Interpretable Algorithms for Zero-Shot Inference on Event Sequences and Time Series with LLMs
EVIL evolves single compact Python algorithms via LLM-guided search that enable zero-shot inference on temporal point processes, Markov jump processes, and time series imputation, often matching or exceeding deep learning models while remaining interpretable and orders of magnitude faster.