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Publikationen

Zeige Ergebnisse 171 bis 180 von 15037.
  1. Tabular Data Adapters: Pseudo-Labeling Unlabeled Private Tabular Data for Outlier Detection

    In: IEEE Access (Hrsg.). IEEE Access (IEEE), Vol. 14, Pages 25691-25705, IEEE, 2/2026.

  2. Fin-Fed-OD: Enhancing Outlier Detection Using Federated Learning on Financial Tabular Data

    In: International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2025), located at FLTA25, October 14-17, Dubrovnik, Croatia, Pages 40-47, DFKI Research Reports (RR), ISBN 979-8-3315-5670-9, IEEE, 1/2026.

  3. Adaptive Trust Infrastructures for AI: From an AI ClinicalTrials.gov framework to a Human-AI Workforce

    In: Mark Nitzberg; Stuart Russell; Atoosa Kasirzadeh; Jime Fernandez Fisac; Adam Gleave (Hrsg.). Proceedings of the Second Annual Conference of International Association for Safe and Ethical Artificial Intelligence. Annual Conference of The International Association for Safe & Ethical Artificial Intelligence (IASEAI-2026), February 24-26, Paris, France, IASEAI, 2/2026.

  4. Ivan Vykopal; Matú¨ Pikuliak; Simon Ostermann; Marián ¦imko

    Assessing Web Search Credibility and Response Groundedness in Chat Assistants

    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.

  5. Lars-Peter Meyer; Johannes Frey; Felix Brei; Desiree Heim; Sabine Gründer-Fahrer; Sara Todorovikj; Claus Stadler; Markus Schröder; Natanael Arndt; Michael Martin

    Evaluating Large Language Models for RDF Knowledge Graph Related Tasks - The LLM-KG-Bench-Framework 3

    In: Semantic Web - Interoperability, Usability, Applicability, Vol. 17, No. 4, Pages 1-38, SAGE Publications Sage UK, London, England, 7/2026.

  6. Nico Bohlinger; Jan Peters

    Shape Your Body: Value Gradients for Multi-Embodiment Robot Design

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2606.00702, Pages 1-27, arXiv, 2026.

  7. Nils Grandien; David Steinmann; Felix Friedrich; Kristian Kersting

    Do Sparse Autoencoders Learn Meaningful Concept Hierarchies?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2606.22994, Pages 1-21, arXiv, 2026.

  8. Simon Kohaut; Felix Divo; Julius Hahnewald; Benedict Flade; Julian Eggert; Kristian Kersting; Devendra Singh Dhami

    Driving, Fast or Slow? Neuro-Symbolic Guidance for Motion Prediction in Multi-Modal Ground Mobility

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2606.15251, Pages 1-24, arXiv, 2026.

  9. Selen Erkan; Bastian Boll; Kristian Kersting; Björn Deiseroth; Letitia Parcalabescu

    Soft-Prompt Tuning for Fair and Efficient LLM Benchmark Evaluation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2606.12117, Pages 1-34, arXiv, 2026.

  10. Hikaru Shindo; Yu Deng; Teng Cao; Quentin Delfosse; Christopher Tauchmann; Jannis Blüml; Gopika Sudhakaran; Kristian Kersting

    Learning Explicit Behavioral Models with Adaptive Questions and World-Model Probes

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2606.07127, Pages 1-26, arXiv, 2026.