(How) Do reasoning models reason?
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| Title: | (How) Do reasoning models reason? |
|---|---|
| Authors: | Kambhampati, Subbarao1 (AUTHOR) rao@asu.edu, Stechly, Kaya1 (AUTHOR), Valmeekam, Karthik1 (AUTHOR) |
| Source: | Annals of the New York Academy of Sciences. May2025, Vol. 1547 Issue 1, p33-40. 8p. |
| Subjects: | Model-based reasoning, Machine learning, Artificial intelligence, Philosophy of science, Common misconceptions |
| Abstract: | We provide a broad unifying perspective on the recent breed of large reasoning models such as OpenAI o1 and DeepSeek R1, including their promise, sources of power, misconceptions, and limitations. [ABSTRACT FROM AUTHOR] |
| Copyright of Annals of the New York Academy of Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185349617 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: (How) Do reasoning models reason? – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kambhampati%2C+Subbarao%22">Kambhampati, Subbarao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> rao@asu.edu</i><br /><searchLink fieldCode="AR" term="%22Stechly%2C+Kaya%22">Stechly, Kaya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Valmeekam%2C+Karthik%22">Valmeekam, Karthik</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Annals+of+the+New+York+Academy+of+Sciences%22">Annals of the New York Academy of Sciences</searchLink>. May2025, Vol. 1547 Issue 1, p33-40. 8p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Model-based+reasoning%22">Model-based reasoning</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Philosophy+of+science%22">Philosophy of science</searchLink><br /><searchLink fieldCode="DE" term="%22Common+misconceptions%22">Common misconceptions</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We provide a broad unifying perspective on the recent breed of large reasoning models such as OpenAI o1 and DeepSeek R1, including their promise, sources of power, misconceptions, and limitations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Annals of the New York Academy of Sciences is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=185349617 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1111/nyas.15339 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 33 Subjects: – SubjectFull: Model-based reasoning Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Philosophy of science Type: general – SubjectFull: Common misconceptions Type: general Titles: – TitleFull: (How) Do reasoning models reason? Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kambhampati, Subbarao – PersonEntity: Name: NameFull: Stechly, Kaya – PersonEntity: Name: NameFull: Valmeekam, Karthik IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00778923 Numbering: – Type: volume Value: 1547 – Type: issue Value: 1 Titles: – TitleFull: Annals of the New York Academy of Sciences Type: main |
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