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Publikationen

Seite 1 von 3.

  1. Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues

    In: Proceedings of the 2024 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology …

  2. XAI for Better Exploitation of Text in Medical Decision Support

    In: Dina Demner-Fushman; Sophia Ananiadou; Makoto Miwa; Kirk Roberts; Junichi Tsujii (Hrsg.). Proceedings of the 23rd Workshop on Biomedical Natural …

  3. Nikolas Wehner; Nils Feldhus; Michael Seufert; Sebastian Möller; Tobias Hoßfeld

    QoEXplainer: Mediating Explainable Quality of Experience Models with Large Language Models

    In: 2024 16th International Conference on Quality of Multimedia Experience (QoMEX). International Conference on Quality of Multimedia Experience …

  4. The Role of Explainability in Collaborative Human-AI Disinformation Detection

    In: FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and …

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

    In: Su Lin Blodgett; Amanda Cercas Curry; Sunipa Dev; Michael Madaio; Ani Nenkova; Diyi Yang; Ziang Xiao (Hrsg.). Proceedings of the Third Workshop on …

  6. CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung (Vivian) Chen (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2024. Conference …

  7. German Voter Personas Can Radicalize LLM Chatbots via the Echo Chamber Effect

    In: Saad Mahamood; Nguyen Le Minh; Daphne Ippolito (Hrsg.). Proceedings of the 17th International Natural Language Generation Conference. …

  8. InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations

    In: Houda Bouamor; Juan Pino; Kalika Bali (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2023. Conference on Empirical …

  9. Gabriele Sarti; Nils Feldhus; Ludwig Sickert; Oskar van der Wal; Malvina Nissim; Arianna Bisazza

    Inseq: An Interpretability Toolkit for Sequence Generation Models

    In: Danushka Bollegala; Ruihong Huang; Alan Ritter (Hrsg.). Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: …

  10. Tim Polzehl; Vera Schmitt; Nils Feldhus; Joachim Meyer; Sebastian Möller

    Fighting Disinformation: Overview of Recent AI-Based Collaborative Human-Computer Interaction for Intelligent Decision Support Systems

    In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP,. …