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Head of Research Department Multilinguality and Language Technology

Prof. Dr. Josef van Genabith

Organizational unit Multilinguality and Language Technology
Contact +49 681 85775 5287 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 2Stuhlsatzenhausweg 3D-66123 Saarbrücken
Prof. Dr. Josef van Genabith

Publications

LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

Qianli Wang; Tatiana Anikina; Nils Feldhus; Josef van Genabith; Leonhard Hennig; Sebastian Möller

In: Su Lin Blodgett; Amanda Cercas Curry; Sunipa Dev; Michael Madaio; Ani Nenkova; Diyi Yang; Ziang Xiao (Hrsg.). Proceedings of the Third Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP). NAACL Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP-2024), located at North American Chapter of the Association for Computational Linguistics (NAACL), Mexico City, Mexico, Association for Computational Linguistics. 2024.

To the publication

When your Rich Cousin Has the Right Connections: Unsupervised Bilingual Lexicon Induction for Related Data-Imbalanced Languages.

Niyati Bafna; Cristina España-Bonet; Josef van Genabith; Benoît Sagot; Rachel Bawden

In: Proceedings of the Language Resources and Evaluation Conference. International Conference on Language Resources and Evaluation (LREC-2024), May 20-25, Turin, Italy, ELRA, 2024.

To the publication

Rewiring the Transformer with Depth-Wise LSTMs.

Hongfei Xu; Yang Song; Qiuhui Liu; Josef van Genabith; Deyi Xiong

In: Proceedings of the Language Resources and Evaluation Conference. International Conference on Language Resources and Evaluation (LREC-2024), May 20-25, Turin, Italy, ELRA, 2024.

To the publication
All publications

Profile

  • 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…

    TRAILS

  • EUC PT

    EU Council Presidency Translator

    Language is an essential part of our lives – we use it to share information, to describe our feelings, to discuss with others or to pass on knowledge to the next generations. It is a vital component…

    EUC PT

  • DEEPLEE

    Tiefes Lernen für End-to-End-Anwendungen in der Sprachtechnologie

    The research work in DEEPLEE, which is carried out in the Language Technology research departments in Saabrücken and Berlin, builds on DFKI's expertise in the areas of "deep learning" (DL) and…

    DEEPLEE

  • QT21

    QT21: Quality Translation 21

    A European Digital Single Market free of barriers, including language barriers, is a stated EU objective to be achieved by 2020. The findings of the META-NET Language White Papers show that currently…

    QT21