Sascha Kaltenpoth

Wirtschaftsinformatik, insb. Data Analytics

Mitglied - Wissenschaftlicher Mitarbeiter

KI-Assistenzsystementwicklung im Projekt AProSys

E-Mail:
sascha.kaltenpoth@uni-paderborn.de
Telefon:
+49 5251 60-5105
Büro­anschrift:
Zukunftsmeile 2
33102 Paderborn
Raum:
ZM2.A.02.25
Sprechstunden:

Nach Vereinbarung

Forschung

Forschungsschwerpunkte

Machine und Deep Learning für:

  • Natural Language Processing (NLP)
  • Computer Vision
  • Time-Series Analysis and Forecasting

Publikationen

Ausgew?hlte Publikationen

Getting in Contract with Large Language Models - An Agency Theory Perspective On Large Language Model Alignment

S.B. Kaltenpoth, O. Müller, in: Wirtschaftsinformatik 2024 Proceedings, 2024.


Straight Outta Logs: Can Large Language Models Overcome Preprocessing in Next Event Prediction?

K. Brennig, S.B. Kaltenpoth, O. Müller, in: Lecture Notes in Business Information Processing, Springer Nature Switzerland, Cham, 2025.

DOI

A Step Towards Cognitive Automation: Integrating LLM Agents with Process Rules

S.B. Kaltenpoth, A.M. Skolik, O. Müller, D. Beverungen, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

DOI

Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts

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.

DOI

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

S.B. Kaltenpoth, O. Müller, ACM SIGEnergy Energy Informatics Review 4 (2025) 16–22.

DOI

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