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Inference to the Best Explanation in Large Language Models

Inference to the Best Explanation in Large Language Models

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2928440927

Inference to the Best Explanation in Large Language Models

About this item

Full title

Inference to the Best Explanation in Large Language Models

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-02

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

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Scope and Contents

Contents

While Large Language Models (LLMs) have found success in real-world applications, their underlying explanatory process is still poorly understood. This paper proposes IBE-Eval, a framework inspired by philosophical accounts on Inference to the Best Explanation (IBE) to advance the interpretation and evaluation of LLMs' explanations. IBE-Eval estima...

Alternative Titles

Full title

Inference to the Best Explanation in Large Language Models

Authors, Artists and Contributors

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Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2928440927

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2928440927

Other Identifiers

E-ISSN

2331-8422

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