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Dr.-Ing. Leonhard Hennig

Organizational unit Speech and Language Technology
Contact +49 30 23895 1821 (Berlin)

Address (Berlin) DFKI Labor Berlin - HauptgebäudeAlt-Moabit 91cD-10559 Berlin

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

Symmetric Dot-Product Attention for Efficient Training of BERT Language Models

Martin Courtois; Malte Ostendorff; Leonhard Hennig; Georg Rehm

In: The 62nd Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-2024), Findings of the Association for Computational Linguistics, August 11-16, Bangkok, Thailand, Association for Computational Linguistics, 2024.

To the publication

DFKI-MLST at DialAM-2024 Shared Task: System Description

Arne Björn Binder; Tatiana Anikina; Leonhard Hennig; Simon Ostermann

In: Yamen Ajjour; Roy Bar-Haim; Roxanne El Baff; Zhexiong Liu; Gabriella Skitalinskaya (Hrsg.). Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024). ACL Workshop on Argument Mining (ArgMining-2024), located at The 62nd Annual Meeting of the Association for Computational Linguistics, August 15, Bangkok, Thailand, Pages 93-102, Association for Computational Linguistics, 2024.

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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

  • Data4Transparency

    Data Science and NLP for transparency

    According to the World Bank and the UN, some US$1tn is paid in bribes every year. Corrupt financial transactions divert funds from legitimate public services, as well as distort free…

  • Text2Tech

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    The observation and analysis of strategic developments in the area surrounding the technology base of a company's products and services is a decisive competitive success factor in a globalized…

    Text2Tech

  • CORA4NLP

    Co(n)textual Reasoning and Adaptation for Natural Language Processing

    Language is implicit - it omits information. Filling this information gap requires contextual inference, background- and commonsense knowledge, and reasoning over situational context. Language also…

    CORA4NLP

  • PLASS

    Platform for Analytical Supply Chain Management Services

    The goal of the PLASS project is the development of a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of…

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