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Shared Autoregressive Context Can Distort Relationships in Synthetic Data

Robinson, Thomas S.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Large language models can generate several records within one autoregressive completion, making earlier answers available as context for later records. This paper shows that such shared-completion batching can distort relationships among variables in the resulting synthetic data, using controlled te
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