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Knowledge-Centric Templatic Views of Documents
Thus, in our work, we consider each of these documents to be templatic views of the same underlying knowledge, and we aim to unify the generation and evaluation of these templatic views of documents.
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
Specifically, we construct an entity-centric knowledge store for each user based on their search and browsing activities on the web, which is then leveraged to provide contextually relevant LLM prompt augmentations.
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