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Publikationen

Zeige Ergebnisse 1071 bis 1080 von 14483.

  1. Daniil Gurgurov; Mareike Hartmann; Simon Ostermann

    Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via Adapters

    In: Russa Biswas; Lucie-Aimée Kaffee; Oshin Agarwal; Pasquale Minervini; Sameer Singh; Gerard de Melo (Hrsg.). Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models (KaLLM 2024). Workshop on Knowledge Graphs and Large Language Models (KaLLM-2024), August 15, Bangkok, Thailand, Pages 63-74, Association for Computational Linguistics, 2024.

  2. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

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

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  3. Pratyush Agnihotri; Boris Koldehofe; Roman Heinrich; Carsten Binnig; Manisha Luthra

    PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: 16th TPC Technology Conference on Performance Evaluation & Benchmarking. TPC Technology Conference (TPCTC-2024), 50th International Conference on Very Large Databases, located at TPCTC, August 26-31, Guangzhou, China, Springer, 2024.

  4. Yasser Hamidullah; Josef van Genabith; Cristina España-Bonet

    Sign Language Translation with Sentence Embedding Supervision

    In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics. Annual Meeting of the Association for Computational Linguistics (ACL-2024), Bangkok, Thailand, Thailand, Pages 425-434, Association for Computational Linguistics, 2024.

  5. Krzysztof Wolski; Adarsh Djeacoumar; Alireza Javanmardi; Hans-Peter Seidel; Christian Theobalt; Guillaume Cordonnier; Karol Myszkowski; George Drettakis; Xingang Pan; Thomas Leimkühler

    Learning Images Across Scales Using Adversarial Training

    In: ACM Transactions on Graphics (TOG), Vol. 43, Pages 1-13, Association for Computing Machinery (ACM), 2024.

  6. Aleksandra Gabryszak; Daniel Röder; Arne Björn Binder; Luca Sion; Leonhard Hennig

    Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models

    In: Proceedings of the 17th International Natural Language Generation Conference. International Natural Language Generation Conference (INLG-2024), Tokyo, Japan, Association for Computational Linguistics, 2024.

  7. Nabeel Khalid; Maria Caropresse; Gillian Lovell; Andreas Dengel; Sheraz Ahmed

    CellSpot: Deep Learning-Based Efficient Cell Center Detection in Microscopic Images

    In: 33rd International Conference on Artificial Neural Networks ICANN. International Conference on Artificial Neural Networks (ICANN-2024), September 17-20, Lugano, Switzerland, Springer Nature, Switzerland, 9/2024.

  8. Tillmann Angeli; Daniel Reti; Daniel Schneider-Wetzel; Hans Dieter Schotten

    False Flavor Honeypot: Deceiving Vulnerability Scanning Tools

    In: 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). IEEE European Symposium on Security and Privacy Workshops (EuroSPW-2024), 3rd Workshop on Active Defense and Deception (AD&D), July 8-12, Vienna, Austria, IEEE, 7/2024.

  9. Paula Gauselmann; Christian Frings; Christian Jilek; Tobias Tempel

    A Multi-conceptual Approach to Forgetting Prose-induced Fixation in Creative Problem-solving

    In: Journal of Applied Research in Memory and Cognition (JARMAC), Vol. 0, Pages 1-27, Educational Publishing Foundation, 2024.

  10. Brian Pickering; Roland Roller; Holmer Hemsen; Gerrit J. Noordergraaf; Igor Paulussen; Alyssa Venema

    Technology in Healthcare: Introduction, Clinical Impacts, Workflow Improvement, Structuring and Assessment

    Now Publishers, Inc. 2024.

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