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pro vyhledávání: '"Arora, Akhil"'
Links are a fundamental part of information networks, turning isolated pieces of knowledge into a network of information that is much richer than the sum of its parts. However, adding a new link to the network is not trivial: it requires not only the
Externí odkaz:
http://arxiv.org/abs/2410.04254
Autor:
Arora, Akhil, Klein, Lars, Potamitis, Nearchos, Aydin, Roland, Gulcehre, Caglar, West, Robert
Large language models (LLMs) have significantly evolved, moving from simple output generation to complex reasoning and from stand-alone usage to being embedded into broader frameworks. In this paper, we introduce \emph{Fleet of Agents (FoA)}, a novel
Externí odkaz:
http://arxiv.org/abs/2405.06691
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media, 18(1), 100-112
With 60M articles in more than 300 language versions, Wikipedia is the largest platform for open and freely accessible knowledge. While the available content has been growing continuously at a rate of around 200K new articles each month, very little
Externí odkaz:
http://arxiv.org/abs/2306.03940
Autor:
Veselovsky, Veniamin, Ribeiro, Manoel Horta, Arora, Akhil, Josifoski, Martin, Anderson, Ashton, West, Robert
Large Language Models (LLMs) have democratized synthetic data generation, which in turn has the potential to simplify and broaden a wide gamut of NLP tasks. Here, we tackle a pervasive problem in synthetic data generation: its generative distribution
Externí odkaz:
http://arxiv.org/abs/2305.15041
The use of attributed quotes is the most direct and least filtered pathway of information propagation in news. Consequently, quotes play a central role in the conception, reception, and analysis of news stories. Since quotes provide a more direct win
Externí odkaz:
http://arxiv.org/abs/2207.03592
Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods. However, such methods tend to come with caveats, such as no integrati
Externí odkaz:
http://arxiv.org/abs/2207.02824
Candidate generation is a crucial module in entity linking. It also plays a key role in multiple NLP tasks that have been proven to beneficially leverage knowledge bases. Nevertheless, it has often been overlooked in the monolingual English entity li
Externí odkaz:
http://arxiv.org/abs/2206.15163
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 these navigation patterns is crucial to better serve readers' needs
Externí odkaz:
http://arxiv.org/abs/2201.00812
Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when seeking information. To bridge this gap, we present the first systematic
Externí odkaz:
http://arxiv.org/abs/2112.11848