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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2018) Authors: Devlin, Chang, Lee, Toutanova (Google AI Language) Why it matters: This changed how machines understand context. Instead of reading left-to-right, BERT looks at the whole sentence at once (bidirectional), allowing it to understand nuance and ambiguity much better. Key Quote: "BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly conditioning on both left and right context in all layers."