Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Exploring the reversal curse and other deductive logical reasoning in BERT and GPT-based large language models

Patterns(2024)10.1016/j.patter.2024.101030Source: 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 Patterns (2024). On theSindex it has a DataRank of 0. It has been cited 10 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access10 citations

Download PDF

Cite:

Linked data & code

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

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 2.38)OA: goldTopics (34)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Jingye Yang,Kai Wang ORCID,Wu Da

Live enrichment

PubMed:39568650 PMC:PMC11573886 OpenAlex:https://openalex.org/W4400977996

National Institutes of Health

Grant: HG013031

National Institutes of Health

Grant: 1R01HG013031-01

Fair Phenotype Annotation and Genomic Reinterpretation

CHEO Research Institute

FWCI

2.38

Citation Percentile

0.9%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttp://www.cell.com/article/S2666389924001636/pdf

GOLDhttp://www.cell.com/article/S2666389924001636/pdf

publisherhttp://www.cell.com/article/S2666389924001636/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2666389924001636?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666389924001636?httpAccept=text/plain

Fields of Study

Topic ModelingNatural Language Processing TechniquesMultimodal Machine Learning ApplicationsComputer ScienceMedicine

Keywords

TransformerComputer scienceEncoderCurseGenerative grammarLogical reasoningComprehensionArtificial intelligenceNatural language processingAutoencoderIntersection (aeronautics)Context (archaeology)Machine learningProgramming languageDeep learningGPTAuto-regressive ModelLlmBertLarge Language ModelBidirectional EncoderDeductive Logical ReasoningReversal CurseFOS: Computer and information sciencesArtificial Intelligence (cs.AI)Computation and LanguageComputation and Language (cs.CL)ArticleMachine Learning (cs.LG)

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

10.48550/arxiv.2312.03633arXiv