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Beyond Accuracy: Decomposing the Reasoning Efficiency of LLMs

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kaiser, Daniel, Frigessi, Arnoldo, Ramezani-Kebrya, Ali, Ricaud, Benjamin
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language Artificial Intelligence Machine Learning 68T50, 68T05 I.2.7; I.2.6; F.2.2
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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