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Coding agents routinely fail to build agents that truly meet user requirements, with the gap between demonstration and delivery being the norm.
Even the best AI agents fail to generate engineering-grade Simulink models, scoring below 43% on a new benchmark that rigorously tests functional correctness and robustness.
AREX achieves superior performance in deep research tasks by recursively refining answers through a novel self-improvement mechanism that outpaces traditional search methods.