Zobrazeno 1 - 5
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pro vyhledávání: '"Teneva, Nedelina"'
Autor:
Teneva, Nedelina, Hruschka, Estevam
Despite the recent popularity of knowledge graph (KG) related tasks and benchmarks such as KG embeddings, link prediction, entity alignment and evaluation of the reasoning abilities of pretrained language models as KGs, the structure and properties o
Externí odkaz:
http://arxiv.org/abs/2311.06414
Autor:
Teneva, Nedelina
Generative language models produce highly abstractive outputs by design, in contrast to extractive responses in search engines. Given this characteristic of LLMs and the resulting implications for content Licensing & Attribution, we propose the the s
Externí odkaz:
http://arxiv.org/abs/2307.11779
Multiresolution Matrix Factorization (MMF) was recently introduced as a method for finding multiscale structure and defining wavelets on graphs/matrices. In this paper we derive pMMF, a parallel algorithm for computing the MMF factorization. Empirica
Externí odkaz:
http://arxiv.org/abs/1507.04396
Autor:
Fox, Jennifer T., Sakamuru, Srilatha, Huang, Ruili, Teneva, Nedelina, Simmons, Steven O., Xia, Menghang, Tice, Raymond R., Austin, Christopher P., Myung, Kyungjae
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2012 Apr 01. 109(14), 5423-5428.
Externí odkaz:
https://www.jstor.org/stable/41588170
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