Arxiv Papers

[short] The Unreasonable Effectiveness of Easy Training Data for Hard Tasks


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Current language models often generalize well from easy to hard data, performing as well as models trained on hard data. It may be better to collect and train on easy data rather than hard data, as hard data is noisier and costlier to collect.


https://arxiv.org/abs//2401.06751


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Arxiv PapersBy Igor Melnyk

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