2025-02-172025-02-172024Estrada Torres, B., Río Ortega, A.d. y Resinas Arias de Reyna, M. (2024). Mapping the Landscape: Exploring Large Language Model Applications in Business Process Management. En 25th International Conference, BPMDS 2024. Volum. 511 LNBIP. Lecture Notes in Business Information Processing (22-31), Limassol, Cyprus: Springer Nature.1865-13481865-1356https://hdl.handle.net/11441/168794The irruption of large language models (LLMs) during the last year has prompted researchers and practitioners to explore novel scenarios for integrating LLMs, enhancing task execution efficiency across diverse domains. Among these, business process management (BPM) stands out as a fertile ground for leveraging LLM features. As organizations strive to streamline their processes throughout the BPM lifecycle, the potential benefits of incorporating LLMs become increasingly evident. In this sense, over the past year, several approaches have been proposed to incorporate LLMs in BPM-related tasks. Concurrently, research efforts have identified key research directions that can help guide the adoption of LLMs in the BPM lifecycle phases. In this article, we perform a comprehensive literature review to assess the impact and coverage of existing approaches in addressing these research directions. In addition, we deem it particularly relevant to analyze the evaluation criteria followed. By analyzing existing proposals and techniques, we aim to shed light on the most addressed BPM lifecycle phases, pinpointing the research directions they entail and the evaluation criteria utilized. Through this analysis, we provide valuable insights and recommendations to inform future research endeavors.application/pdf10 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/LLMBusiness Process ManagementLifecycleinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.1007/978-3-031-61007-3_3