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Measuring Progress on Scalable Oversight for Large Language Models

Measuring Progress on Scalable Oversight for Large Language Models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2733847578

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

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Scope and Contents

Contents

Developing safe and useful general-purpose AI systems will require us to make progress on scalable oversight: the problem of supervising systems that potentially outperform us on most skills relevant to the task at hand. Empirical work on this problem is not straightforward, since we do not yet have systems that broadly exceed our abilities. This p...

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Full title

Measuring Progress on Scalable Oversight for Large Language Models

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2733847578

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2733847578

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E-ISSN

2331-8422

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