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pro vyhledávání: '"Robinson Michael"'
Large language models encode the correlational structure present in natural language by fitting segments of utterances (tokens) into a high dimensional ambient latent space upon which the models then operate. We assert that in order to develop a foun
Externí odkaz:
http://arxiv.org/abs/2410.08993
This article explores the theoretical underpinnings of -- and practical results for -- topological and geometric features of data collected by synthetic aperture sonar systems. We prove a strong theoretical guarantee about the structure of the space
Externí odkaz:
http://arxiv.org/abs/2409.15447
Autor:
Battistella, Enzo, English, Sean, Green, Robert, Joslyn, Cliff, Lagoda, Evgeniya, Magnan, Van, Myers, Audun, Nash, Evan D., Robinson, Michael
Hypergraphs have been a recent focus of study in mathematical data science as a tool to understand complex networks with high-order connections. One question of particular relevance is how to leverage information carried in hypergraph attributions wh
Externí odkaz:
http://arxiv.org/abs/2405.04559
We demonstrate that large language models can produce reasonable numerical ratings of the logical consistency of claims. We also outline a mathematical approach based on sheaf theory for lifting such ratings to hypertexts such as laws, jurisprudence,
Externí odkaz:
http://arxiv.org/abs/2401.16713
This article addresses the problem of multi-object tracking by using a non-deterministic model of target behaviors with hard constraints. To capture the evolution of target features as well as their locations, we permit objects to lie in a general to
Externí odkaz:
http://arxiv.org/abs/2401.12182