[{"type":"book_chapter","publication":"Lecture Notes in Business Information Processing","status":"public","user_id":"50640","department":[{"_id":"196"}],"_id":"58724","language":[{"iso":"eng"}],"publication_status":"published","publication_identifier":{"isbn":["9783031786655","9783031786662"],"issn":["1865-1348","1865-1356"]},"citation":{"bibtex":"@inbook{Brennig_Kaltenpoth_Müller_2025, place={Cham}, title={Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-78666-2_15\">10.1007/978-3-031-78666-2_15</a>}, booktitle={Lecture Notes in Business Information Processing}, publisher={Springer Nature Switzerland}, author={Brennig, Katharina and Kaltenpoth, Sascha Benjamin and Müller, Oliver}, year={2025} }","mla":"Brennig, Katharina, et al. “Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?” <i>Lecture Notes in Business Information Processing</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-031-78666-2_15\">10.1007/978-3-031-78666-2_15</a>.","short":"K. Brennig, S.B. Kaltenpoth, O. Müller, in: Lecture Notes in Business Information Processing, Springer Nature Switzerland, Cham, 2025.","apa":"Brennig, K., Kaltenpoth, S. B., &#38; Müller, O. (2025). Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction? In <i>Lecture Notes in Business Information Processing</i>. Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-78666-2_15\">https://doi.org/10.1007/978-3-031-78666-2_15</a>","ama":"Brennig K, Kaltenpoth SB, Müller O. Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction? In: <i>Lecture Notes in Business Information Processing</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-031-78666-2_15\">10.1007/978-3-031-78666-2_15</a>","ieee":"K. Brennig, S. B. Kaltenpoth, and O. Müller, “Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?,” in <i>Lecture Notes in Business Information Processing</i>, Cham: Springer Nature Switzerland, 2025.","chicago":"Brennig, Katharina, Sascha Benjamin Kaltenpoth, and Oliver Müller. “Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?” In <i>Lecture Notes in Business Information Processing</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-78666-2_15\">https://doi.org/10.1007/978-3-031-78666-2_15</a>."},"place":"Cham","year":"2025","author":[{"first_name":"Katharina","full_name":"Brennig, Katharina","last_name":"Brennig"},{"full_name":"Kaltenpoth, Sascha Benjamin","id":"50640","last_name":"Kaltenpoth","first_name":"Sascha Benjamin"},{"full_name":"Müller, Oliver","last_name":"Müller","first_name":"Oliver"}],"date_created":"2025-02-20T09:11:59Z","date_updated":"2025-05-07T14:19:42Z","publisher":"Springer Nature Switzerland","doi":"10.1007/978-3-031-78666-2_15","title":"Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?"},{"doi":"10.1109/access.2025.3648056","title":"Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting","date_created":"2026-03-09T16:58:28Z","author":[{"first_name":"Marcel","orcid":" 0009-0005-9136-8525","last_name":"Meyer","id":"105120","full_name":"Meyer, Marcel"},{"first_name":"David Ricardo","last_name":"Zapata Gonzalez","full_name":"Zapata Gonzalez, David Ricardo","id":"105506"},{"first_name":"Sascha Benjamin","last_name":"Kaltenpoth","id":"50640","full_name":"Kaltenpoth, Sascha Benjamin"},{"full_name":"Müller, Oliver","id":"72849","last_name":"Müller","first_name":"Oliver"}],"volume":13,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","date_updated":"2026-03-10T08:13:21Z","citation":{"bibtex":"@article{Meyer_Zapata Gonzalez_Kaltenpoth_Müller_2025, title={Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting}, volume={13}, DOI={<a href=\"https://doi.org/10.1109/access.2025.3648056\">10.1109/access.2025.3648056</a>}, journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Meyer, Marcel and Zapata Gonzalez, David Ricardo and Kaltenpoth, Sascha Benjamin and Müller, Oliver}, year={2025}, pages={218141–218153} }","short":"M. Meyer, D.R. Zapata Gonzalez, S.B. Kaltenpoth, O. Müller, IEEE Access 13 (2025) 218141–218153.","mla":"Meyer, Marcel, et al. “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting.” <i>IEEE Access</i>, vol. 13, Institute of Electrical and Electronics Engineers (IEEE), 2025, pp. 218141–53, doi:<a href=\"https://doi.org/10.1109/access.2025.3648056\">10.1109/access.2025.3648056</a>.","apa":"Meyer, M., Zapata Gonzalez, D. R., Kaltenpoth, S. B., &#38; Müller, O. (2025). Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting. <i>IEEE Access</i>, <i>13</i>, 218141–218153. <a href=\"https://doi.org/10.1109/access.2025.3648056\">https://doi.org/10.1109/access.2025.3648056</a>","ama":"Meyer M, Zapata Gonzalez DR, Kaltenpoth SB, Müller O. Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting. <i>IEEE Access</i>. 2025;13:218141-218153. doi:<a href=\"https://doi.org/10.1109/access.2025.3648056\">10.1109/access.2025.3648056</a>","chicago":"Meyer, Marcel, David Ricardo Zapata Gonzalez, Sascha Benjamin Kaltenpoth, and Oliver Müller. “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting.” <i>IEEE Access</i> 13 (2025): 218141–53. <a href=\"https://doi.org/10.1109/access.2025.3648056\">https://doi.org/10.1109/access.2025.3648056</a>.","ieee":"M. Meyer, D. R. Zapata Gonzalez, S. B. Kaltenpoth, and O. Müller, “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,” <i>IEEE Access</i>, vol. 13, pp. 218141–218153, 2025, doi: <a href=\"https://doi.org/10.1109/access.2025.3648056\">10.1109/access.2025.3648056</a>."},"page":"218141-218153","intvolume":"        13","year":"2025","publication_status":"published","publication_identifier":{"issn":["2169-3536"]},"language":[{"iso":"eng"}],"user_id":"105120","_id":"64870","status":"public","type":"journal_article","publication":"IEEE Access"},{"user_id":"92908","_id":"61098","language":[{"iso":"eng"}],"type":"conference","publication":"Lecture Notes in Computer Science","status":"public","date_created":"2025-08-30T09:43:49Z","author":[{"full_name":"Kaltenpoth, Sascha Benjamin","id":"50640","last_name":"Kaltenpoth","first_name":"Sascha Benjamin"},{"first_name":"Alexander Marcus","orcid":"0009-0006-2519-1765","last_name":"Skolik","full_name":"Skolik, Alexander Marcus","id":"92908"},{"first_name":"Oliver","last_name":"Müller","full_name":"Müller, Oliver","id":"72849"},{"first_name":"Daniel","last_name":"Beverungen","id":"59677","full_name":"Beverungen, Daniel"}],"publisher":"Springer Nature Switzerland","date_updated":"2025-08-30T09:50:22Z","doi":"10.1007/978-3-032-02867-9_19","conference":{"name":"23rd International Conference on Business Process Management","start_date":"2025-08-31","end_date":"2025-09-05","location":"Sevilla"},"title":"A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules","publication_status":"published","publication_identifier":{"isbn":["9783032028662","9783032028679"],"issn":["0302-9743","1611-3349"]},"citation":{"ieee":"S. B. Kaltenpoth, A. M. Skolik, O. Müller, and D. Beverungen, “A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules,” presented at the 23rd International Conference on Business Process Management, Sevilla, 2025, doi: <a href=\"https://doi.org/10.1007/978-3-032-02867-9_19\">10.1007/978-3-032-02867-9_19</a>.","chicago":"Kaltenpoth, Sascha Benjamin, Alexander Marcus Skolik, Oliver Müller, and Daniel Beverungen. “A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules.” In <i>Lecture Notes in Computer Science</i>. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-032-02867-9_19\">https://doi.org/10.1007/978-3-032-02867-9_19</a>.","ama":"Kaltenpoth SB, Skolik AM, Müller O, Beverungen D. A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules. In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2025. doi:<a href=\"https://doi.org/10.1007/978-3-032-02867-9_19\">10.1007/978-3-032-02867-9_19</a>","apa":"Kaltenpoth, S. B., Skolik, A. M., Müller, O., &#38; Beverungen, D. (2025). A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules. <i>Lecture Notes in Computer Science</i>. 23rd International Conference on Business Process Management, Sevilla. <a href=\"https://doi.org/10.1007/978-3-032-02867-9_19\">https://doi.org/10.1007/978-3-032-02867-9_19</a>","short":"S.B. Kaltenpoth, A.M. Skolik, O. Müller, D. Beverungen, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.","bibtex":"@inproceedings{Kaltenpoth_Skolik_Müller_Beverungen_2025, place={Cham}, title={A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules}, DOI={<a href=\"https://doi.org/10.1007/978-3-032-02867-9_19\">10.1007/978-3-032-02867-9_19</a>}, booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland}, author={Kaltenpoth, Sascha Benjamin and Skolik, Alexander Marcus and Müller, Oliver and Beverungen, Daniel}, year={2025} }","mla":"Kaltenpoth, Sascha Benjamin, et al. “A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules.” <i>Lecture Notes in Computer Science</i>, Springer Nature Switzerland, 2025, doi:<a href=\"https://doi.org/10.1007/978-3-032-02867-9_19\">10.1007/978-3-032-02867-9_19</a>."},"place":"Cham","year":"2025"},{"status":"public","abstract":[{"lang":"eng","text":"<jats:p>As a possible solution to the demographic change and the resulting knowledge loss due to retirements in the Energy sector, this study aimed to develop a generic pipeline to implement and evaluate proof-of-concepts (PoCs) for LLM-based assistance systems in new domains. Our pipeline contains an LLM-based data generation strategy based on documents, a retrieval-augmented generation (RAG) architecture utilizing prompting techniques on existing German LLMs, and an LLM-based automatic evaluation strategy. We leverage our pipeline to evaluate five LLMs using data from a German DSO. We found that the Llama3 and the Mistral model are appropriately aligned for the task. We plan to pilot the RAG architecture in the DSO's infrastructure for future research and continuously research improvements using the generated human demonstrations.</jats:p>"}],"type":"journal_article","publication":"ACM SIGEnergy Energy Informatics Review","language":[{"iso":"eng"}],"article_type":"original","user_id":"50640","_id":"61160","citation":{"ieee":"S. B. Kaltenpoth and O. Müller, “Don’t Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System,” <i>ACM SIGEnergy Energy Informatics Review</i>, vol. 4, no. 4, pp. 16–22, 2025, doi: <a href=\"https://doi.org/10.1145/3717413.3717415\">10.1145/3717413.3717415</a>.","chicago":"Kaltenpoth, Sascha Benjamin, and Oliver Müller. “Don’t Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System.” <i>ACM SIGEnergy Energy Informatics Review</i> 4, no. 4 (2025): 16–22. <a href=\"https://doi.org/10.1145/3717413.3717415\">https://doi.org/10.1145/3717413.3717415</a>.","ama":"Kaltenpoth SB, Müller O. Don’t Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System. <i>ACM SIGEnergy Energy Informatics Review</i>. 2025;4(4):16-22. doi:<a href=\"https://doi.org/10.1145/3717413.3717415\">10.1145/3717413.3717415</a>","bibtex":"@article{Kaltenpoth_Müller_2025, title={Don’t Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System}, volume={4}, DOI={<a href=\"https://doi.org/10.1145/3717413.3717415\">10.1145/3717413.3717415</a>}, number={4}, journal={ACM SIGEnergy Energy Informatics Review}, publisher={Association for Computing Machinery (ACM)}, author={Kaltenpoth, Sascha Benjamin and Müller, Oliver}, year={2025}, pages={16–22} }","mla":"Kaltenpoth, Sascha Benjamin, and Oliver Müller. “Don’t Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System.” <i>ACM SIGEnergy Energy Informatics Review</i>, vol. 4, no. 4, Association for Computing Machinery (ACM), 2025, pp. 16–22, doi:<a href=\"https://doi.org/10.1145/3717413.3717415\">10.1145/3717413.3717415</a>.","short":"S.B. Kaltenpoth, O. Müller, ACM SIGEnergy Energy Informatics Review 4 (2025) 16–22.","apa":"Kaltenpoth, S. B., &#38; Müller, O. (2025). Don’t Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System. <i>ACM SIGEnergy Energy Informatics Review</i>, <i>4</i>(4), 16–22. <a href=\"https://doi.org/10.1145/3717413.3717415\">https://doi.org/10.1145/3717413.3717415</a>"},"intvolume":"         4","page":"16-22","year":"2025","issue":"4","publication_status":"published","publication_identifier":{"issn":["2770-5331"]},"doi":"10.1145/3717413.3717415","title":"Don't Touch the Power Line - A Proof-of-Concept for Aligned LLM-Based Assistance Systems to Support the Maintenance in the Electricity Distribution System","date_created":"2025-09-09T12:30:30Z","author":[{"last_name":"Kaltenpoth","id":"50640","full_name":"Kaltenpoth, Sascha Benjamin","first_name":"Sascha Benjamin"},{"full_name":"Müller, Oliver","id":"72849","last_name":"Müller","first_name":"Oliver"}],"volume":4,"publisher":"Association for Computing Machinery (ACM)","date_updated":"2025-09-09T12:31:07Z"},{"year":"2024","citation":{"short":"P. zur Heiden, S.B. Kaltenpoth, HMD Praxis der Wirtschaftsinformatik (2024).","mla":"zur Heiden, Philipp, and Sascha Benjamin Kaltenpoth. “Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model.” <i>HMD Praxis der Wirtschaftsinformatik</i>, Springer Fachmedien Wiesbaden GmbH, 2024, doi:<a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>.","bibtex":"@article{zur Heiden_Kaltenpoth_2024, title={Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model}, DOI={<a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>}, journal={HMD Praxis der Wirtschaftsinformatik}, publisher={Springer Fachmedien Wiesbaden GmbH}, author={zur Heiden, Philipp and Kaltenpoth, Sascha Benjamin}, year={2024} }","apa":"zur Heiden, P., &#38; Kaltenpoth, S. B. (2024). Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model. <i>HMD Praxis der Wirtschaftsinformatik</i>. <a href=\"https://doi.org/10.1365/s40702-024-01074-3\">https://doi.org/10.1365/s40702-024-01074-3</a>","ama":"zur Heiden P, Kaltenpoth SB. Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model. <i>HMD Praxis der Wirtschaftsinformatik</i>. Published online 2024. doi:<a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>","ieee":"P. zur Heiden and S. B. Kaltenpoth, “Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model,” <i>HMD Praxis der Wirtschaftsinformatik</i>, 2024, doi: <a href=\"https://doi.org/10.1365/s40702-024-01074-3\">10.1365/s40702-024-01074-3</a>.","chicago":"Heiden, Philipp zur, and Sascha Benjamin Kaltenpoth. “Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model.” <i>HMD Praxis der Wirtschaftsinformatik</i>, 2024. <a href=\"https://doi.org/10.1365/s40702-024-01074-3\">https://doi.org/10.1365/s40702-024-01074-3</a>."},"publication_status":"published","publication_identifier":{"issn":["1436-3011","2198-2775"]},"title":"Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language Model","doi":"10.1365/s40702-024-01074-3","date_updated":"2024-08-16T11:05:12Z","publisher":"Springer Fachmedien Wiesbaden GmbH","author":[{"id":"64394","full_name":"zur Heiden, Philipp","last_name":"zur Heiden","first_name":"Philipp"},{"full_name":"Kaltenpoth, Sascha Benjamin","id":"50640","last_name":"Kaltenpoth","first_name":"Sascha Benjamin"}],"date_created":"2024-05-24T13:36:55Z","abstract":[{"lang":"eng","text":"<jats:title>Zusammenfassung</jats:title><jats:p>Verteilnetzbetreiber in Deutschland stehen vor großen Herausforderungen bei dem Management ihres unternehmensspezifischen Wissens: Mitarbeiterengpässe durch den demographischen Wandel, Wissen ist nur implizit vorhanden und nicht in Wissensmanagementsystemen digitalisiert, teilweise gibt es gar keine Wissensmanagementsysteme oder Konzepte und das Verteilnetz wird immer komplexer. Verbunden mit zunehmender Belastung von zentralen Komponenten im Verteilnetz durch die Energiewende bedarf es neuer Lösungen, besonders für die wissensintensiven Wartungs- und Instandhaltungsprozesse. Generative Artificial Intelligence als aufstrebende Technologie, insb. durch Large Language Models, zeigt hier erste Erfolge für die Anleitung, Entscheidungsunterstützung und den Wissenstransfer. Aufbauend auf dem Design Science Research Forschungsparadigma wird in diesem Beitrag ein ganzheitlicher Ansatz des Wissensmanagements konzipiert, welcher als zentrale Komponente auf einem Assistenzsystem basiert. Ein Large Language Model generiert Hilfestellungen für Netzmonteure während der Wartung und Instandhaltung auf Basis von Anleitungen. Neben der Konzeption zeigt dieser Beitrag auch die erarbeitete Strategie zur Demonstration und zukünftigen Evaluation der Ergebnisse. Der Beitrag liefert ein für Verteilnetzbetreiber neuartiges Konzept Large Language Model basierter Assistenzsysteme zum Wissensmanagement und zeigt zudem nachgelagerte Schritte auf, die vor einer Markteinführung notwendig sind.</jats:p>"}],"status":"public","type":"journal_article","publication":"HMD Praxis der Wirtschaftsinformatik","language":[{"iso":"ger"}],"_id":"54446","user_id":"64394"},{"publication_identifier":{"issn":["2169-3536"]},"publication_status":"published","year":"2024","page":"1-1","citation":{"short":"R. Gitzel, M. Hoffmann, P. zur Heiden, A.M. Skolik, S.B. Kaltenpoth, O. Müller, C. Kanak, K. Kandiah, M.-F. Stroh, W. Boos, M. Zajadatz, M. Suriyah, T. Leibfried, D.S. Singhal, M. Bürger, D. Hunting, A. Rehmer, A. Boyaci, IEEE Access (2024) 1–1.","bibtex":"@article{Gitzel_Hoffmann_zur Heiden_Skolik_Kaltenpoth_Müller_Kanak_Kandiah_Stroh_Boos_et al._2024, title={Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts}, DOI={<a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>}, journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Gitzel, Ralf and Hoffmann, Martin and zur Heiden, Philipp and Skolik, Alexander Marcus and Kaltenpoth, Sascha Benjamin and Müller, Oliver and Kanak, Cansu and Kandiah, Kajan and Stroh, Max-Ferdinand and Boos, Wolfgang and et al.}, year={2024}, pages={1–1} }","mla":"Gitzel, Ralf, et al. “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts.” <i>IEEE Access</i>, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 1–1, doi:<a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>.","apa":"Gitzel, R., Hoffmann, M., zur Heiden, P., Skolik, A. M., Kaltenpoth, S. B., Müller, O., Kanak, C., Kandiah, K., Stroh, M.-F., Boos, W., Zajadatz, M., Suriyah, M., Leibfried, T., Singhal, D. S., Bürger, M., Hunting, D., Rehmer, A., &#38; Boyaci, A. (2024). Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts. <i>IEEE Access</i>, 1–1. <a href=\"https://doi.org/10.1109/access.2024.3437195\">https://doi.org/10.1109/access.2024.3437195</a>","chicago":"Gitzel, Ralf, Martin Hoffmann, Philipp zur Heiden, Alexander Marcus Skolik, Sascha Benjamin Kaltenpoth, Oliver Müller, Cansu Kanak, et al. “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts.” <i>IEEE Access</i>, 2024, 1–1. <a href=\"https://doi.org/10.1109/access.2024.3437195\">https://doi.org/10.1109/access.2024.3437195</a>.","ieee":"R. Gitzel <i>et al.</i>, “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts,” <i>IEEE Access</i>, pp. 1–1, 2024, doi: <a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>.","ama":"Gitzel R, Hoffmann M, zur Heiden P, et al. Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts. <i>IEEE Access</i>. Published online 2024:1-1. doi:<a href=\"https://doi.org/10.1109/access.2024.3437195\">10.1109/access.2024.3437195</a>"},"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","date_updated":"2024-08-16T11:04:56Z","date_created":"2024-08-05T05:54:36Z","author":[{"last_name":"Gitzel","full_name":"Gitzel, Ralf","first_name":"Ralf"},{"first_name":"Martin","last_name":"Hoffmann","full_name":"Hoffmann, Martin"},{"last_name":"zur Heiden","full_name":"zur Heiden, Philipp","id":"64394","first_name":"Philipp"},{"first_name":"Alexander Marcus","last_name":"Skolik","orcid":"0009-0006-2519-1765","full_name":"Skolik, Alexander Marcus","id":"92908"},{"first_name":"Sascha Benjamin","last_name":"Kaltenpoth","full_name":"Kaltenpoth, Sascha Benjamin","id":"50640"},{"last_name":"Müller","id":"72849","full_name":"Müller, Oliver","first_name":"Oliver"},{"first_name":"Cansu","last_name":"Kanak","full_name":"Kanak, Cansu"},{"last_name":"Kandiah","full_name":"Kandiah, Kajan","first_name":"Kajan"},{"full_name":"Stroh, Max-Ferdinand","last_name":"Stroh","first_name":"Max-Ferdinand"},{"first_name":"Wolfgang","last_name":"Boos","full_name":"Boos, Wolfgang"},{"last_name":"Zajadatz","full_name":"Zajadatz, Maurizio","first_name":"Maurizio"},{"last_name":"Suriyah","full_name":"Suriyah, Michael","first_name":"Michael"},{"first_name":"Thomas","full_name":"Leibfried, Thomas","last_name":"Leibfried"},{"full_name":"Singhal, Dhruv Suresh","last_name":"Singhal","first_name":"Dhruv Suresh"},{"full_name":"Bürger, Moritz","last_name":"Bürger","first_name":"Moritz"},{"full_name":"Hunting, Dennis","last_name":"Hunting","first_name":"Dennis"},{"first_name":"Alexander","full_name":"Rehmer, Alexander","last_name":"Rehmer"},{"first_name":"Aydin","full_name":"Boyaci, Aydin","last_name":"Boyaci"}],"title":"Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts","doi":"10.1109/access.2024.3437195","publication":"IEEE Access","type":"journal_article","status":"public","_id":"55500","project":[{"call_identifier":"7. Energieforschungsprogramm, Förderbereich \"Digitalisierung der Energiewende\"","_id":"650","name":"AProSys: AProSys -KI-gestützte Assistenz- und Prognosesysteme für den nachhaltigen Einsatz in der intelligenten Verteilnetztechnik","grant_number":"03E16090E"}],"user_id":"64394","language":[{"iso":"eng"}]},{"user_id":"50640","department":[{"_id":"196"}],"_id":"56945","language":[{"iso":"eng"}],"type":"conference","publication":"Wirtschaftsinformatik 2024 Proceedings","status":"public","abstract":[{"text":"Adopting Large language models (LLMs) in organizations potentially revolutionizes our lives and work. However, they can generate off-topic, discriminating, or harmful content. This AI alignment problem often stems from misspecifications during the LLM adoption, unnoticed by the principal due to the LLM’s black-box nature. While various research disciplines investigated AI alignment, they neither address the information asymmetries between organizational adopters and black-box LLM agents nor consider organizational AI adoption processes. Therefore, we propose LLM ATLAS (LLM Agency Theory-Led Alignment Strategy) a conceptual framework grounded in agency (contract) theory, to mitigate alignment problems during organizational LLM adoption. We conduct a conceptual literature analysis using the organizational LLM adoption phases and the agency theory as concepts. Our approach results in (1) providing an extended literature analysis process specific to AI alignment methods during organizational LLM adoption and (2) providing a first LLM alignment problem-solutionspace.","lang":"eng"}],"author":[{"first_name":"Sascha Benjamin","last_name":"Kaltenpoth","full_name":"Kaltenpoth, Sascha Benjamin","id":"50640"},{"first_name":"Oliver","last_name":"Müller","id":"72849","full_name":"Müller, Oliver"}],"date_created":"2024-11-07T16:23:23Z","date_updated":"2024-11-11T16:45:34Z","main_file_link":[{"url":"https://aisel.aisnet.org/wi2024/91/"}],"conference":{"end_date":"19.09.2024","start_date":"16.09.2024"},"title":"Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment","citation":{"bibtex":"@inproceedings{Kaltenpoth_Müller_2024, title={Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment}, booktitle={Wirtschaftsinformatik 2024 Proceedings}, author={Kaltenpoth, Sascha Benjamin and Müller, Oliver}, year={2024} }","short":"S.B. Kaltenpoth, O. Müller, in: Wirtschaftsinformatik 2024 Proceedings, 2024.","mla":"Kaltenpoth, Sascha Benjamin, and Oliver Müller. “Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment.” <i>Wirtschaftsinformatik 2024 Proceedings</i>, 2024.","apa":"Kaltenpoth, S. B., &#38; Müller, O. (2024). Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment. <i>Wirtschaftsinformatik 2024 Proceedings</i>.","chicago":"Kaltenpoth, Sascha Benjamin, and Oliver Müller. “Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment.” In <i>Wirtschaftsinformatik 2024 Proceedings</i>, 2024.","ieee":"S. B. Kaltenpoth and O. Müller, “Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment,” 2024.","ama":"Kaltenpoth SB, Müller O. Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment. In: <i>Wirtschaftsinformatik 2024 Proceedings</i>. ; 2024."},"year":"2024"}]