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

Assessing Web Search Credibility and Response Groundedness in Chat Assistants
Ivan Vykopal; Matú¨ Pikuliak; Simon Ostermann; Marián ¦imko
In: Accepted at 19th Conference of the European Chapter of the Association for Computational Linguistics (Main). Conference of the European Chapter of the Association for Computational Linguistics (EACL), arXiv, 2026.
Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual Data
Christian Schuler; Raman Ahmad; Ānrán Wáng; Daniil Gurgurov; Timo Baumann; Simon Ostermann; Josef van Genabith
In: TBA. International Conference on Language Resources and Evaluation (LREC-2026), May 11-16, Palma de Mallorca, Spain, TBA, 2026.
Multilingual Political Views of Large Language Models: Identification and Steering
Daniil Gurgurov; Katharina Trinley; Ivan Vykopal; Josef van Genabith; Simon Ostermann; Roberto Zamparelli
In: Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL-2025), December 20-24, Mumbai, India, The Asian Federation of…

MARSS
Multimodales System zur Abwehr von Desinformation mittels Reflektion Sozioemotionaler Prozesse für SchülerInnen
The MARSS research project is developing a system for the automatic analysis of disinformation, which enables users to reflect on their socio-emotional reactions and defend themselves against these…
GenSeC
Generative AI in a Security Context
GenSeC untersucht, wie generative Grundlagenmodelle in sicherheitsrelevanten Betriebskontexten bewertet werden können, in denen Standardannahmen über klare Aufgaben, stabile Grundwahrheiten und…
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…