Distribution-Aware Reward optimizes LLM regression by treating rollouts as empirical predictive distributions and rewarding marginal improvements in CRPS quality rather than point accuracy alone.
Journal of the American Statistical Association , volume =
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
NeuralTFR neural network produces lower point-forecast errors than BayesTFR on 2009-2023 data and projects broader exposure to low and very low fertility globally by 2040.
citing papers explorer
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Distribution-Aware Reward: Reinforcement Learning over Predictive Distributions for LLM Regression
Distribution-Aware Reward optimizes LLM regression by treating rollouts as empirical predictive distributions and rewarding marginal improvements in CRPS quality rather than point accuracy alone.
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Anticipating Continued Global Fertility Decline via Neural Forecasting
NeuralTFR neural network produces lower point-forecast errors than BayesTFR on 2009-2023 data and projects broader exposure to low and very low fertility globally by 2040.