Sascha Benjamin Kaltenpoth

sascha.kaltenpoth@uni-paderborn.de
ID
50640

8 Publications

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[8]
2026 | Journal Article | LibreCat-ID: 65626
A. M. Skolik, S. B. Kaltenpoth, D. Beverungen, and O. Müller, “A modular large language model agent architecture for adaptive and autonomous process-aware execution,” Information Systems, Art. no. 102748, 2026, doi: 10.1016/j.is.2026.102748.
LibreCat | DOI
 
[7]
2025 | Book Chapter | LibreCat-ID: 58724
K. Brennig, S. B. Kaltenpoth, and O. Müller, “Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?,” in Lecture Notes in Business Information Processing, Cham: Springer Nature Switzerland, 2025.
LibreCat | DOI
 
[6]
2025 | Journal Article | LibreCat-ID: 64870
M. Meyer, D. R. Zapata Gonzalez, S. B. Kaltenpoth, and O. Müller, “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,” IEEE Access, vol. 13, pp. 218141–218153, 2025, doi: 10.1109/access.2025.3648056.
LibreCat | DOI
 
[5]
2025 | Conference Paper | LibreCat-ID: 61098
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: 10.1007/978-3-032-02867-9_19.
LibreCat | DOI
 
[4]
2025 | Journal Article | LibreCat-ID: 61160
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,” ACM SIGEnergy Energy Informatics Review, vol. 4, no. 4, pp. 16–22, 2025, doi: 10.1145/3717413.3717415.
LibreCat | DOI
 
[3]
2024 | Journal Article | LibreCat-ID: 54446
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,” HMD Praxis der Wirtschaftsinformatik, 2024, doi: 10.1365/s40702-024-01074-3.
LibreCat | DOI
 
[2]
2024 | Journal Article | LibreCat-ID: 55500
R. Gitzel et al., “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts,” IEEE Access, pp. 1–1, 2024, doi: 10.1109/access.2024.3437195.
LibreCat | DOI
 
[1]
2024 | Conference Paper | LibreCat-ID: 56945
S. B. Kaltenpoth and O. Müller, “Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment,” 2024.
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8 Publications

Mark all

[8]
2026 | Journal Article | LibreCat-ID: 65626
A. M. Skolik, S. B. Kaltenpoth, D. Beverungen, and O. Müller, “A modular large language model agent architecture for adaptive and autonomous process-aware execution,” Information Systems, Art. no. 102748, 2026, doi: 10.1016/j.is.2026.102748.
LibreCat | DOI
 
[7]
2025 | Book Chapter | LibreCat-ID: 58724
K. Brennig, S. B. Kaltenpoth, and O. Müller, “Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?,” in Lecture Notes in Business Information Processing, Cham: Springer Nature Switzerland, 2025.
LibreCat | DOI
 
[6]
2025 | Journal Article | LibreCat-ID: 64870
M. Meyer, D. R. Zapata Gonzalez, S. B. Kaltenpoth, and O. Müller, “Benchmarking Time Series Foundation Models for Short-Term Household Electricity Load Forecasting,” IEEE Access, vol. 13, pp. 218141–218153, 2025, doi: 10.1109/access.2025.3648056.
LibreCat | DOI
 
[5]
2025 | Conference Paper | LibreCat-ID: 61098
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: 10.1007/978-3-032-02867-9_19.
LibreCat | DOI
 
[4]
2025 | Journal Article | LibreCat-ID: 61160
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,” ACM SIGEnergy Energy Informatics Review, vol. 4, no. 4, pp. 16–22, 2025, doi: 10.1145/3717413.3717415.
LibreCat | DOI
 
[3]
2024 | Journal Article | LibreCat-ID: 54446
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,” HMD Praxis der Wirtschaftsinformatik, 2024, doi: 10.1365/s40702-024-01074-3.
LibreCat | DOI
 
[2]
2024 | Journal Article | LibreCat-ID: 55500
R. Gitzel et al., “Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts,” IEEE Access, pp. 1–1, 2024, doi: 10.1109/access.2024.3437195.
LibreCat | DOI
 
[1]
2024 | Conference Paper | LibreCat-ID: 56945
S. B. Kaltenpoth and O. Müller, “Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment,” 2024.
LibreCat | Download (ext.)
 
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Citation Style: IEEE

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