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Princeton, Ant Group and Stanford researchers propose AQuA, a two-part agentic framework for autonomous factor discovery in quantitative finance. AQuA pairs language-model-driven research systems that improve their own process while the judging component stays frozen, addressing corrupted evidence from self-written experiments.
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