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Learning to adapt pretrained language models to unlabeled, out-of-distribution data is a critical challenge, as models often falter on structurally novel reasoning tasks even while excelling within their training distribution.
Robust locally weighted regression and smoothing scatterplots
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Locally weighted regression: an approach to regression analysis by local fitting
William S Cleveland and Susan J Devlin · 1988
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Deepseekmath: Pushing the limits of mathematical reasoning in open language models
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Rest-mcts*: Llm self-training via process reward guided tree search
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Open-reasoner-zero: An open source approach to scaling up reinforcement learning on the base model
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