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Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models

arXiv (Cornell University)(2023)10.48550/arxiv.2312.03633Source: DataRank Database

Exploring the Reversal Curse and Other Deductive Logical Reasoning in BERT and GPT-Based Large Language Models is a research paper published in arXiv (Cornell University) (2023). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (1 grants)OA: greenTopics (23)IDs (PubMed, OpenAlex)

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Accessible (1/2)

Open Access

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Reusable (0/3)

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Authors (3)

Jingye Yang,Kai Wang ORCID,Da Wu

Live enrichment

PubMed:23304386 OpenAlex:https://openalex.org/W4389471447

National Institutes of Health

Grant: 1R01HG013031-01

Fair Phenotype Annotation and Genomic Reinterpretation

greenLicense: cc-by

repositoryhttps://arxiv.org/pdf/2312.03633

repositoryhttp://arxiv.org/abs/2312.03633

repositoryhttps://arxiv.org/abs/2312.03633

repositoryhttps://doi.org/10.48550/arxiv.2312.03633

https://doi.org/10.1016/j.patter.2024.101030

Fields of Study

Artificial Intelligence in Healthcare and EducationTopic Modeling

Keywords

Intersection (aeronautics)Computer scienceConstruct (python library)Context (archaeology)CurseLogical reasoningNatural language processingEncoderArtificial intelligenceProgramming languageEngineeringGeographySociologyFOS: Computer and information sciencesComputer Science - Machine LearningComputer Science - Computation and LanguageArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceComputation and Language (cs.CL)ArticleMachine Learning (cs.LG)