Readers direct regressions to plausible error sites in noisy-channel garden-path sentences, consistent with Bayesian reanalysis under a noisy-channel model.
and Choi, Wonil and Henderson, John M
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Frequent sentence-level text improves LLM prompting and fine-tuning performance across math, translation, commonsense, and tool-use tasks via a proposed frequency law and curriculum ordering.
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Readers make targeted regressions to plausible errors in reanalysis of "noisy-channel garden-path" sentences
Readers direct regressions to plausible error sites in noisy-channel garden-path sentences, consistent with Bayesian reanalysis under a noisy-channel model.
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Adam's Law: Textual Frequency Law on Large Language Models
Frequent sentence-level text improves LLM prompting and fine-tuning performance across math, translation, commonsense, and tool-use tasks via a proposed frequency law and curriculum ordering.