Enhancing recruitment with LLMs and chatbots

Novais, Liliana; Rocio, Vitor; Morais, A. Jorge

http://hdl.handle.net/10400.2/19779

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Authors

Novais, Liliana

Rocio, Vitor

Morais, A. Jorge

Abstract(s)

Traditional 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.

Keywords

Recruitment Large language models Chatbots Automation Efficiency Bias mitigation

URI

http://hdl.handle.net/10400.2/19779

Citation

Novais, 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