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Artikel ; Online: GPT-4 passes the bar exam.

Katz, Daniel Martin / Bommarito, Michael James / Gao, Shang / Arredondo, Pablo

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

2024  Band 382, Heft 2270, Seite(n) 20230254

Abstract: In this paper, we experimentally evaluate the zero-shot performance of GPT-4 against prior generations of GPT on the entire uniform bar examination (UBE), including not only the multiple-choice multistate bar examination (MBE), but also the open-ended ... ...

Abstract In this paper, we experimentally evaluate the zero-shot performance of GPT-4 against prior generations of GPT on the entire uniform bar examination (UBE), including not only the multiple-choice multistate bar examination (MBE), but also the open-ended multistate essay exam (MEE) and multistate performance test (MPT) components. On the MBE, GPT-4 significantly outperforms both human test-takers and prior models, demonstrating a 26% increase over ChatGPT and beating humans in five of seven subject areas. On the MEE and MPT, which have not previously been evaluated by scholars, GPT-4 scores an average of 4.2/6.0 when compared with much lower scores for ChatGPT. Graded across the UBE components, in the manner in which a human test-taker would be, GPT-4 scores approximately 297 points, significantly in excess of the passing threshold for all UBE jurisdictions. These findings document not just the rapid and remarkable advance of large language model performance generally, but also the potential for such models to support the delivery of legal services in society. This article is part of the theme issue 'A complexity science approach to law and governance'.
Sprache Englisch
Erscheinungsdatum 2024-02-26
Erscheinungsland England
Dokumenttyp Journal Article
ZDB-ID 208381-4
ISSN 1471-2962 ; 0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
ISSN (online) 1471-2962
ISSN 0080-4614 ; 0264-3820 ; 0264-3952 ; 1364-503X
DOI 10.1098/rsta.2023.0254
Signatur
Z 4' 46/25: Hefte anzeigen
Z PHI 2: Hefte anzeigen
Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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