The paper claims an LLM with an inductively learned prompt policy achieves 20x precision over random chance in startup success prediction, but test-set leakage and weak baselines invalidate the headline claim.
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Policy Induction: Predicting Startup Success via Explainable Memory-Augmented In-Context Learning
The paper claims an LLM with an inductively learned prompt policy achieves 20x precision over random chance in startup success prediction, but test-set leakage and weak baselines invalidate the headline claim.