Researchers from the University of Washington and Meta AI Present a Simple Context-Aware Decoding (CAD) Method to Encourage the Language Model to Attend to Its Context During Generation

Language models (LMs) have proven their remarkable effectiveness in generating coherent and fluent continuations of a prompt or document prefix. In the text generation step, they mostly rely on two sources of knowledge: (1) prior knowledge, which is learned during pretraining and stored implicitly within the model parameters; (2) context knowledge, passed as inputs in […]

The post Researchers from the University of Washington and Meta AI Present a Simple Context-Aware Decoding (CAD) Method to Encourage the Language Model to …

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