We enhance auto-regressive language models by conditioning on document chunks
retrieved from a large corpus, based on local similarity with preceding tokens. With a 2 …

Wikipedia is one of the most visited websites in the world and is also a frequent subject of
scientific research. However, the analytical possibilities of Wikipedia information have not …

Percolation is an emblematic model to assess the robustness of interconnected systems
when some of their components are corrupted. It is usually investigated in simple scenarios …

We propose a new model for networks of time series that influence each other. Graph
structures among time series are found in diverse domains, such as web traffic influenced by …

Currently, the relation between edit behavior, link structure, and article quality is not well-
understood in our community, notwithstanding that this relationship may facilitate editing …

Dynamic graph representation learning is a task to learn node embeddings over dynamic
networks, and has many important applications, including knowledge graphs, citation …

Abstract The evolution of Artificial Intelligence (AI)‐based systems and applications have
pervaded everyday life to make decisions that have a momentous impact on individuals and …

Every day millions of people read Wikipedia. When navigating the vast space of available
topics using hyperlinks, readers describe trajectories on the article network. Understanding …

Abstract Knowledge networks are large, interconnected data sets of knowledge that can be
represented, studied and modeled using complex networks concepts and methodologies …

Wikipedia is written in the wikitext markup language. When serving content, the MediaWiki
software that powers Wikipedia parses wikitext to HTML, thereby inserting additional content …