Agentic-imodels evolves scikit-learn regressors via an autoresearch loop to jointly boost predictive performance and LLM-simulatability, improving downstream agentic data science tasks by up to 73% on the BLADE benchmark.
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AnTenA uses task-agnostic and task-specific LLM prompts to explain co-clustered patterns from tensor decomposition and evaluates them on forward and backward inference tasks.
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Agentic-imodels: Evolving agentic interpretability tools via autoresearch
Agentic-imodels evolves scikit-learn regressors via an autoresearch loop to jointly boost predictive performance and LLM-simulatability, improving downstream agentic data science tasks by up to 73% on the BLADE benchmark.
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AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models
AnTenA uses task-agnostic and task-specific LLM prompts to explain co-clustered patterns from tensor decomposition and evaluates them on forward and backward inference tasks.