hypothesis-tree

A paper introducing Arbor, an AI framework that enables autonomous scientific research by combining strategic coordination, isolated hypothesis testing, and a persistent knowledge tree to iteratively improve research outcomes across multiple domains.

This paper proposes a method for autonomous research agents using hypothesis-tree refinement to generate and test hypotheses, aiming toward generalist scientific discovery.

Microsoft Research introduces Arbor, a generalist autonomous research agent that uses persistent hypothesis-tree refinement for cumulative learning, outperforming Codex and Claude Code across six research tasks and achieving 86% Any-Medal on MLE-Bench Lite.