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AREX: Towards a Recursively Self-Improving Agent for Deep Research

142 upvotes · 23 JUL 2026 · Shuqi Lu, Chaofan Li, Kun Luo et al.

This paper introduces AREX, a self-improving agent that recursively refines its answers by verifying intermediate results and using the partially verified state to guide subsequent refinement, aiming to improve the efficiency of deep research. Practitioners might care about AREX's approach to reducing the cost of discovery and verification in complex research tasks.

Recursively Self-Improving (RSI) agentsdeep researchautonomous context-update toolmixture-of-experts modelsreinforcement learningbenchmarking