Výsledky vyhledávání - "External knowledge"

Knowledge-driven dialogue generation models aim to enhance dialogue generation models by using different forms of knowledge, so that dialogue generation models can not only learn semantic interactions from dialogue data, but also deeply understand us

Externí odkaz: https://doaj.org/article/1683eb357df74be38d3109ea4fce13f1

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Akademický článek

Integrating knowledge representation into traffic prediction: a spatial–temporal graph neural network with adaptive fusion features

Autor: Yi Zhou, Yihan Liu, Nianwen Ning, Li Wang, Zixing Zhang, Xiaozhi Gao, Ning Lu

Publikováno v: Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2883-2900 (2023)

Abstract Various external factors that interfere with traffic flow, such as weather conditions, traffic accidents, incidents, and Points of Interest (POIs), need to be considered in performing traffic forecasting tasks. However, the current research

Externí odkaz: https://doaj.org/article/ea8e4fda50814d0aa82363da6630f77d

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Akademický článek

QA-RAG: Exploring LLM Reliance on External Knowledge

Autor: Aigerim Mansurova, Aiganym Mansurova, Aliya Nugumanova

Publikováno v: Big Data and Cognitive Computing, Vol 8, Iss 9, p 115 (2024)

Large language models (LLMs) can store factual knowledge within their parameters and have achieved superior results in question-answering tasks. However, challenges persist in providing provenance for their decisions and keeping their knowledge up to

Externí odkaz: https://doaj.org/article/15d8f9a6240a44af8e5d059cf4c87161

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Akademický článek

Barriers to external knowledge search for innovation: empirical evidence from the Korean manufacturing industry

Autor: Mun, Hee Jin

Publikováno v: European Journal of Innovation Management, 2022, Vol. 26, Issue 5, pp. 1312-1332.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/EJIM-08-2021-0380

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