Sigurd Schacht

According to our database, Sigurd Schacht authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM.

Irma Heithoff. Marc Guggenberger, Sandra Kalogiannis, Susanne Mayer, Fabian Maag, Sigurd Schacht, Carsten Lanquillon

CoRR, August, 2025

Deception in LLMs: Self-Preservation and Autonomous Goals in Large Language Models.

Sudarshan Kamath Barkur, Sigurd Schacht, Johannes Scholl

CoRR, January, 2025

"Which vocational training program is best for me?" - Design of a recommender system for school students using large language models.

Alexander Piazza, Sigurd Schacht, Michael Herzog

Proceedings of the Adjunct Proceedings of the 33rd ACM Conference on User Modeling, 2025

Mapping Moral Reasoning Circuits: A Mechanistic Analysis of Ethical Decision-Making in Large Language Models.

Sigurd Schacht, Carsten Lanquillon

Proceedings of the Artificial Intelligence in HCI, 2025

Mechanistic Exploration of the Architectural Impact of DPO Fine-Tuning on Ethical Alignment in LLMs.

Fabian Maag, Betiel Woldai, Sigurd Schacht

Proceedings of the Artificial Intelligence in HCI, 2025

2024

Inference Optimizations for Large Language Models: Effects, Challenges, and Practical Considerations.

Leo Donisch, Sigurd Schacht, Carsten Lanquillon

CoRR, 2024

An approach to optimize inference of the DIART speaker diarization pipeline.

Roman Aperdannier, Sigurd Schacht, Alexander Piazza

CoRR, 2024

Systematic Evaluation of Online Speaker Diarization Systems Regarding their Latency.

Roman Aperdannier, Sigurd Schacht, Alexander Piazza

CoRR, 2024

A Review of Common Online Speaker Diarization Methods.

Roman Aperdannier, Sigurd Schacht, Alexander Piazza

CoRR, 2024

PHOENIX: Open-Source Language Adaption for Direct Preference Optimization.

Matthias Uhlig, Sigurd Schacht, Sudarshan Kamath Barkur

CoRR, 2024

Systematic Evaluation of Different Approaches on Embedding Search.

Roman Aperdannier, Melanie Koeppel, Tamina Unger, Sigurd Schacht, Sudarshan Kamath Barkur

Proceedings of the Advances in Information and Communication, 2024

2023

Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle.

Vanessa Mehlin, Sigurd Schacht, Carsten Lanquillon

CoRR, 2023

PromptIE - Information Extraction with Prompt-Engineering and Large Language Models.

Sigurd Schacht, Sudarshan Kamath Barkur, Carsten Lanquillon

Proceedings of the HCI International 2023 Posters, 2023

Knowledge-Grounded and Self-extending NER.

Sudarshan Kamath Barkur, Sigurd Schacht, Carsten Lanquillon

Proceedings of the HCI International 2023 Posters, 2023

2016

A big data change detection system.

Carsten Lanquillon, Sigurd Schacht

Proceedings of the Digital Enterprise Computing (DEC 2016), 2016