Zobrazeno 1 - 10
of 34 160
pro vyhledávání: '"Information Retrieval Systems"'
Autor:
Cao, Hongliu
The rapid advancement of Language Model technologies has opened new opportunities, but also introduced new challenges related to bias and fairness. This paper explores the uncharted territory of potential biases in state-of-the-art universal text emb
Externí odkaz:
http://arxiv.org/abs/2411.13173
At its core, information access and seeking is an interactive process. In existing search engines, interactions are limited to a few pre-defined actions, such as "requery", "click on a document", "scrolling up/down", "going to the next result page",
Externí odkaz:
http://arxiv.org/abs/2407.11605
With the rapid advancements of large language models (LLMs), information retrieval (IR) systems, such as search engines and recommender systems, have undergone a significant paradigm shift. This evolution, while heralding new opportunities, introduce
Externí odkaz:
http://arxiv.org/abs/2404.11457
Publikováno v:
Mìžnarodnij Endokrinologìčnij Žurnal, Vol 20, Iss 5, Pp 370-374 (2024)
Background. Medical information retrieval is becoming more crucial as a way to support decision-making and improve access to knowledge and information for doctors and other specialists in the field. By the incorporation of medical domain knowledge fo
Externí odkaz:
https://doaj.org/article/0d8da840782442849404b4aa32194277
The rapid advancement of natural language processing, information retrieval (IR), computer vision, and other technologies has presented significant challenges in evaluating the performance of these systems. One of the main challenges is the scarcity
Externí odkaz:
http://arxiv.org/abs/2401.17543
Akademický článek
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