Limits to scalable evaluation at the frontier: LLM as Judge won't beat twice the data

High quality annotations are increasingly a bottleneck in the explosively growing machine learning ecosystem. Scalable evaluation methods that avoid costly annotation have therefore become an important research ambition. Many hope to use strong existing models in lieu of costly labels to provide che...

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Bibliographische Detailangaben

Hauptverfasser:	Dorner, Florian E, Nastl, Vivian Y, Hardt, Moritz
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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