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Dr.-Ing. Stefan Schaffer, M.A.

Organizational unit Cognitive Assistants
Contact +49 30 23895 1820 (Berlin)

Address (Berlin) DFKI Labor Berlin - HauptgebäudeAlt-Moabit 91c10559 Berlin

Publications

All publications
  1. Large Language Models are Echo Chambers

    Jan Nehring; Aleksandra Gabryszak; Pascal Jürgens; Aljoscha Burchardt; Stefan Schaffer; Matthias Spielkamp; Birgit Stark

    In: Nicoletta Calzolari; Min-Yen Kan; Veronique Hoste; Alessandro Lenci; Sakriani Sakti; Nianwen Xue (Hrsg.). Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING-2024), ELRA and ICCL, 2024.

Profile

  • TSS-MoVe

    Pilotierung und Evaluation eines verkehrsträgerübergreifenden Technologie-Scouting-Systems für Mobilität und Verkehr

    The early identification and strategic evaluation of technologically relevant developments are crucial to ensuring future-proof and sustainable transportation systems. The project “Cross-Modal…

  • SiSWiss

    Secure language models for knowledge management

    The project aims to ensure the secure use of large language models (LLMs) in companies by developing the Differential Sensitivity Awareness (DSA) framework, which aims to adapt LLMs to manage…

  • ToHyVe

    Toolbox für Hybride Veranstaltungsformate

    The changes in business communications triggered by the COVID 19 crisis will be lasting. Companies have learned that a large proportion of meetings can certainly be conducted online, saving a lot of…

    ToHyVe
  • Stadt-Land-Fluss

    Data and AI-driven development and strengthening of value chains in regional food systems.

    The joint project "Stadt-Land-Flussr" (data and AI-supported development and strengthening of value chains in the field of regional food systems), SLF for short, investigates the strengthening of the…

    Stadt-Land-Fluss
  • ChiM

    Chatbot in the Museum

    Until today, audio or media guides accompany exhibition visits and offer explanations for museum objects. The CHIM project aims to develop a learning, conversational museum guide that enables…

    ChiM