Training Language Models via Neural Cellular Automata
Anon84 Friday, March 13, 2026
Summary
The article discusses a pre-pre-training method called Noisy Channel Adaptation (NCA) that can improve the performance of language models on downstream tasks by pretraining them on diverse, high-quality text data. The method aims to make language models more robust and adaptable to various scenarios.
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Summary
hanseungwook.github.io