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Don't Always Pick the Highest-Performing Model: An Information Theoretic View of LLM Ensemble Selection

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Turkmen, Yigit, Buyukates, Baturalp, Bastopcu, Melih
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing Information Theory
Accesso online:	Acceder al recurso
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