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Automated Social Science: Language Models as Scientist and Subjects
Structural causal models provide a language to state hypotheses, a blueprint for constructing LLM-based agents, an experimental design, and a plan for data analysis.
ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity
We present ComplexityNet, a streamlined language model designed for assessing task complexity.
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