Dr. Simon Ostermann

Interim Head of the Research Department Multilinguality and Language Technology

Contact +49 681 85775 5310 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 2Stuhlsatzenhausweg 366123 Saarbrücken

Publications

A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
Tatiana Anikina; Jan Cegin; Jakub Simko; Simon Ostermann
In: Christos Christodoulopoulos; Tanmoy Chakraborty; Carolyn Rose; Violet Peng (Hrsg.). Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing (EMNLP-2025), November 4-10, Suzhou, China, Pages 8293-8314, ISBN 979-8-89176-332-6, Association for Computational Linguistics, 11/2025.
Building Common Ground in Dialogue: A Survey
Tatiana Anikina; Alina Leippert; Simon Ostermann
In: Proceedings of the Second LUHME Workshop. Workshop on Language Understanding in the Human-Machine Era (LUHME-2025), located at ECAI-2025, October 26, Bologna, Italy, Association for Computational Linguistics, 10/2025.
dfkinit2b at CheckThat! 2025: Leveraging LLMs and Ensemble of Methods for Multilingual Claim Normalization
Tatiana Anikina; Ivan Vykopal; Sebastian Kula; Ravi Kiran Chikkala; Natalia Skachkova; Jing Yang; Veronika Solopova; Vera Schmitt; Simon Ostermann
In: CLEF 2025 Working Notes. Conference and Labs of the Evaluation Forum (CLEF-2025), Information Access Evaluation meets Multilinguality, Multimodality, and Visualization, September 9-12, Madrid, Spain, CEUR Workshop Proceedings, 9/2025.

soofi
Sovereign Open Source Foundation Models
We are developing a larger AI language model that will be made available to the economy and society as open source. Based on a large language model (LLM), a so-called reasoning model will also be…
lorAI
Low Resource Artificial Intelligence
The main objective of the lorAI project is to upgrade the Kempelen Institute of Intelligent Technologies (KInIT) to a leading R&I institution in low resource artificial intelligence (LRAI) in Slovakia…
TRAILS
Trustworthy and Inclusive Machines
Natural language processing (NLP) has demonstrated impressive performance in some human tasks. To achieve such performance, current neural models need to be pre-trained on huge amounts of raw text…
PERKS
Eliciting and Exploiting Procedural Knowledge in Industry 5.0
The PERKS project supports the holistic governance of industrial PK in its entire life cycle, from elicitation to management and from access to exploitation. PERKS bases its solutions on leading-edge…
DAM-S
Semantische Suche für das "Meere Online"-Portal der Deutschen Allianz Meeresforschung
Entwicklung einer semantischen, KI-gestützten Suchfunktion für das Portal "Meere Online" für die Deutsche Allianz Meeresforschung (DAM)