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Enhancing recruitment with LLMs and chatbots

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg10:Reduzir as Desigualdades
dc.contributor.authorNovais, Liliana
dc.contributor.authorRocio, Vitor
dc.contributor.authorMorais, A. Jorge
dc.date.accessioned2025-03-24T13:52:48Z
dc.date.available2025-03-24T13:52:48Z
dc.date.issued2025
dc.description.abstractTraditional approaches in the competitive recruitment landscape frequently encounter difficulties in effectively identifying exceptional applicants, resulting in delays, increased expenses, and biases. This study proposes the utilisation of contemporary technologies such as Large Language Models (LLMs) and chatbots to automate the process of resume screening, thereby diminishing prejudices and enhancing communication between recruiters and candidates. Algorithms based on LLM can greatly transform the process of screening by improving both its speed and accuracy. By integrating chatbots, it becomes possible to have personalised interactions with candidates and streamline the process of scheduling interviews. This strategy accelerates the hiring process while maintaining principles of justice and ethics. Its objective is to improve algorithms and procedures to meet changing requirements and enhance the competitive advantage of talent acquisition within organisations.eng
dc.identifier.citationNovais, L., Rocio, V., Morais, J. (2025). Enhancing Recruitment with LLMs and Chatbots. In: Marreiros, G., et al. Distributed Computing and Artificial Intelligence, Special Sessions II, 21st International Conference. DCAI 2024. Lecture Notes in Networks and Systems, vol 1151. Springer, Cham. https://doi.org/10.1007/978-3-031-80946-0_30
dc.identifier.doi10.1007/978-3-031-80946-0_30
dc.identifier.isbn978-3-031-80946-0
dc.identifier.urihttp://hdl.handle.net/10400.2/19779
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer, Cham
dc.relation.ispartofseriesLecture Notes in Networks and Systems
dc.rights.uriN/A
dc.subjectRecruitment
dc.subjectLarge language models
dc.subjectChatbots
dc.subjectAutomation
dc.subjectEfficiency
dc.subjectBias mitigation
dc.titleEnhancing recruitment with LLMs and chatbotseng
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage297
oaire.citation.startPage292
oaire.citation.titleDistributed Computing and Artificial Intelligence, Special Sessions II, 21st International Conference. DCAI 2024. Lecture Notes in Networks and Systems
oaire.citation.volume1151
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameNovais
person.familyNameRocio
person.familyNameMorais
person.givenNameLiliana
person.givenNameVitor
person.givenNameA. Jorge
person.identifierR-000-HKF
person.identifierD-1723-2009
person.identifier.ciencia-id0418-C5A8-59E2
person.identifier.ciencia-idF314-1D77-536E
person.identifier.orcid0000-0002-2347-6779
person.identifier.orcid0000-0002-3314-898X
person.identifier.orcid0000-0003-2224-1609
person.identifier.scopus-author-id57194584599
relation.isAuthorOfPublicationfc8378fd-ad74-4a4c-bb3f-60cb2daf0a67
relation.isAuthorOfPublication7cab4248-456c-46bf-a1cf-bbd212928171
relation.isAuthorOfPublication571a1c49-329b-4b4e-ad48-78c5ff9c6e01
relation.isAuthorOfPublication.latestForDiscovery7cab4248-456c-46bf-a1cf-bbd212928171

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