Analytica uses soft propositional reasoning to decompose problems, ground facts with tools, and average outputs with linear models, yielding 15.84% average accuracy gains and lower variance on forecasting tasks.
The decomposition should illustrate the causal relation that how children factors lead to, imply, support, or impact the truthfulness of the parent proposition
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Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Analytica uses soft propositional reasoning to decompose problems, ground facts with tools, and average outputs with linear models, yielding 15.84% average accuracy gains and lower variance on forecasting tasks.