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Evolving Stances on Reproducibility : A Longitudinal Study of NLP and ML Researchers' Views and Experience of Reproducibility

dc.contributor.authorThomson, Craig
dc.contributor.authorReiter, Ehud
dc.contributor.authorSedoc, João
dc.contributor.authorBelz, Anya
dc.contributor.editorChristodoulopoulos, Christos
dc.contributor.editorChakraborty, Tanmoy
dc.contributor.editorRose, Carolyn
dc.contributor.editorPeng, Violet
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Computational Linguistics at Aberdeenen
dc.date.accessioned2025-11-12T09:27:01Z
dc.date.issued2025-11-01
dc.descriptionJoão Sedoc thanks NYU Stern for support. We would like to thank Michela Lorandi and Massimiliano Pronesti for performing the recoding annotations. Finally, we would like to thank all participants who responded to our surveys.en
dc.format.extent23
dc.format.extent775257
dc.identifier310889674
dc.identifier6fc2ef3d-dd49-415c-961b-dbf98b01cf7f
dc.identifier.citationThomson, C, Reiter, E, Sedoc, J & Belz, A 2025, Evolving Stances on Reproducibility : A Longitudinal Study of NLP and ML Researchers' Views and Experience of Reproducibility. in C Christodoulopoulos, T Chakraborty, C Rose & V Peng (eds), Findings of the Association for Computational Linguistics : EMNLP 2025. Association for Computational Linguistics, Suzhou, China, pp. 25738-25760, The 2025 Conference on Empirical Methods in Natural Language Processing, Suzhou, China, 4/11/25. https://doi.org/10.18653/v1/2025.findings-emnlp.1404en
dc.identifier.citationconferenceen
dc.identifier.doi10.18653/v1/2025.findings-emnlp.1404
dc.identifier.isbn979-8-89176-335-7
dc.identifier.otherBibtex: thomson-etal-2025-evolving
dc.identifier.urihttps://hdl.handle.net/2164/26413
dc.identifier.urlhttps://aclanthology.org/2025.findings-emnlp.1404/en
dc.language.isoeng
dc.publisherAssociation for Computational Linguistics
dc.relation.ispartofFindings of the Association for Computational Linguisticsen
dc.subjectQA76 Computer softwareen
dc.subject.lccQA76en
dc.titleEvolving Stances on Reproducibility : A Longitudinal Study of NLP and ML Researchers' Views and Experience of Reproducibilityen
dc.typeConference itemen

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