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Found 2 papers, 1 papers with code
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
Our framework is specifically designed to make decisions on when and what to retrieve based on the LLM's real-time information needs during the text generation process.
Towards the Classification of Error-Related Potentials using Riemannian Geometry
Here, we describe an experiment that elicited ErrPs in seven normal participants performing a visual discrimination task.
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