Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Management and Data Science, PhD, PhD Research, Max-Planck Institute for Informatics
External positions
Senior Researcher, Hasso Plattner Institute
Visiting Researcher, Microsoft Research
Postdoctoral Researcher, Microsoft Research Cambridge
Chief Technology Officer, SCHUFA Holding AG
Honorary Professor, University of Tübingen
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Deep Neural Networks and Tabular Data: A Survey
Borisov, V., Leemann, T., Sebler, K., Haug, J., Pawelczyk, M. & Kasneci, G., 1 Jun 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 6, p. 7499-7519 21 p.Research output: Contribution to journal › Article › peer-review
Open Access199 Scopus citations -
I Prefer Not To Say: Protecting User Consent in Models with Optional Personal Data
Leemann, T., Pawelczyk, M., Eberle, C. T. & Kasneci, G., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 19, p. 21312-21321 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Is Crowdsourcing Breaking Your Bank? Cost-Effective Fine-Tuning of Pre-trained Language Models with Proximal Policy Optimization
Yang, S. & Kasneci, G., 2024, 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings. Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). European Language Resources Association (ELRA), p. 9304-9314 11 p. (2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models
Yang, S., Yuan, C., Rong, Y., Steinbauer, F. & Kasneci, G., 2024, 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Proceedings of the Conference. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 248-264 17 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education
Bewersdorff, A., Hartmann, C., Hornberger, M., Seßler, K., Bannert, M., Kasneci, E., Kasneci, G., Zhai, X. & Nerdel, C., 2024, In: arXiv:2401.00832v1. 1 p.Research output: Contribution to journal › Article › peer-review