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Multi-Criteria Evaluation of Large Language Models (LLMs): Balancing Performance and Security

Because of their functionality and practicality, Large Language Models (LLMs) have been widely discussed, with a large number of benchmarks being conducted to evaluate them, especially their efficiency levels. However, despite their numerous applications and the significant benefits they offer, LLMs...

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Bibliografiske detaljer
Principais autores: Daniel Mendonca Colares, Placido Rogerio Pinheiro, Raimir Holanda Filho
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2026-01-01
Serier:IEEE Access
Fag:
Online adgang:https://ieeexplore.ieee.org/document/11397575/
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