LLM-Powered Decision Trees Explain Predictions In Plain English
GPTree combines LLMs & decision trees for explainable decision-making, generating natural language explanations for predictions on founder success dataset.
This is a Plain English Papers summary of a research paper called LLM-powered Decision Trees Explain Predictions in Plain English. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview The paper proposes a novel approach called GPTree that combines large language models (LLMs) and decision trees to enable explainable decision-making. GPTree uses LLMs to generate natural language explanations for the decisions made by the decision tree model. The authors evaluate GPTree on a dataset related to founder success, demonstrating its ability to...