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Institute of Artificial Intelligence

Organisational unit: Institute

Type of address: Visitor address.
Appelstraße 9a
30167
Hannover
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21 - 40 out of 145Page size: 20

Publications

  1. 2024
  2. Published

    A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality

    Stahl, M., Michel, N., Kilsbach, S., Schmidtke, J., Rezat, S. & Wachsmuth, H., Jun 2024, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Duh, K., Gomez, H. & Bethard, S. (eds.). p. 2661–2674 14 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  3. Published

    Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation

    Stahl, M., Biermann, L., Nehring, A. & Wachsmuth, H., Jun 2024, Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). p. 283–298

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  4. Published

    The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments

    Mirzakhmedova, N., Kiesel, J., Alshomary, M., Heinrich, M., Handke, N., Cai, X., Barriere, V., Dastgheib, D., Ghahroodi, O., SadraeiJavaheri, M., Asgari, E., Kawaletz, L., Wachsmuth, H. & Stein, B., 1 May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). Torino, Italia, p. 16121-16134 14 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  5. Published

    Argument Quality Assessment in the Age of Instruction-Following Large Language Models

    Wachsmuth, H., Lapesa, G., Cabrio, E., Lauscher, A., Park, J., Vecchi, E. M., Villata, S. & Ziegenbein, T., May 2024, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Calzolari, N., Kan, M.-Y., Hoste, V., Lenci, A., Sakti, S. & Xue, N. (eds.). p. 1519-1538

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  6. Published

    Verfahren zum Trainieren eines Algorithmus des maschinellen Lernens durch ein bestärkendes Lernverfahren

    Eimer, T. (Inventor), Hutter, F. (Inventor), Lindauer, M. (Inventor) & Biedenkapp, A. (Inventor), 4 Apr 2024, IPC No. G06N20/00, Patent No. DE102022210480A1, 4 Oct 2022, Priority date 4 Oct 2022, Priority No. DE202210210480A

    Research output: Patent

  7. E-pub ahead of print

    Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

    Hennig, L., Tornede, T. & Lindauer, M., 2 Apr 2024, (E-pub ahead of print) 5th Workshop on practical ML for limited/low resource settings.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  8. Accepted/In press

    auto-sktime: Automated Time Series Forecasting

    Zöller, M., Lindauer, M. & Huber, M., Apr 2024, (Accepted/In press) Proceedings of the 18TH Learning and Intelligent Optimization Conference (LION).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  9. E-pub ahead of print

    Structure in Deep Reinforcement Learning: A Survey and Open Problems

    Mohan, A., Zhang, A. & Lindauer, M., Apr 2024, (E-pub ahead of print) In: Journal of Artificial Intelligence Research.

    Research output: Contribution to journal › Article › Research › peer review

  10. Published

    Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance

    Faggioli, G., Dietz, L., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B. & Wachsmuth, H., 25 Mar 2024, In: Communications of the ACM. 67, 4, p. 31-34 4 p.

    Research output: Contribution to journal › Article › Research › peer review

  11. Published

    Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

    Giovanelli, J., Tornede, A., Tornede, T. & Lindauer, M., 24 Mar 2024, Proceedings of the 38th conference on AAAI. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). p. 12172-12180 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 11).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  12. Published

    Overview of Touché 2024: Argumentation Systems

    Kiesel, J., Çöltekin, Ç., Heinrich, M., Fröbe, M., Alshomary, M., De Longueville, B., Erjavec, T., Handke, N., Kopp, M., Ljubešić, N., Meden, K., Mirzhakhmedova, N., Morkevičius, V., Reitis-Münstermann, T., Scharfbillig, M., Stefanovitch, N., Wachsmuth, H., Potthast, M. & Stein, B., 23 Mar 2024, Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings. Goharian, N., Tonellotto, N., He, Y., Lipani, A., McDonald, G., Macdonald, C. & Ounis, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 466-473 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14612 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  13. E-pub ahead of print

    AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks

    Tornede, A., Deng, D., Eimer, T., Giovanelli, J., Mohan, A., Ruhkopf, T., Segel, S., Theodorakopoulos, D., Tornede, T., Wachsmuth, H. & Lindauer, M., 9 Feb 2024, (E-pub ahead of print) In: Transactions on Machine Learning Research.

    Research output: Contribution to journal › Article › Research › peer review

  14. E-pub ahead of print

    Information Leakage Detection through Approximate Bayes-optimal Prediction

    Gupta, P., Wever, M. & Hüllermeier, E., 25 Jan 2024, (E-pub ahead of print).

    Research output: Working paper/Preprint › Preprint

  15. E-pub ahead of print

    ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning

    Becktepe, J., Dierkes, J., Benjamins, C., Mohan, A., Salinas, D., Rajan, R., Hutter, F., Hoos, H., Lindauer, M. & Eimer, T., 2024, (E-pub ahead of print) 17th European Workshop on Reinforcement Learning (EWRL 2024).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  16. Published

    Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean

    Benjamins, C., Surana, S., Bent, O., Lindauer, M. & Duckworth, P., 2024. 12 p.

    Research output: Contribution to conference › Paper › Research › peer review

  17. E-pub ahead of print

    Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization

    Benjamins, C., Cenikj, G., Nikolikj, A., Mohan, A., Eftimov, T. & Lindauer, M., 2024, (E-pub ahead of print) Genetic and Evolutionary Computation Conference (GECCO).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  18. E-pub ahead of print

    On the Importance of Initialization in Active Learning

    Margraf, V., Wever, M. D. & Hüllermeier, E., 2024, (E-pub ahead of print).

    Research output: Contribution to conference › Paper › Research › peer review

  19. E-pub ahead of print

    Position Paper: A Call to Action for a Human-Centered AutoML Paradigm

    Lindauer, M., Karl, F., Klier, A., Moosbauer, J., Tornede, A., Müller, A., Hutter, F., Feurer, M. & Bischl, B., 2024, (E-pub ahead of print) Proceedings of the international conference on machine learning.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  20. Published

    Reference-guided Style-Consistent Content Transfer

    Chen, W. F., Alshomary, M., Stahl, M., Al Khatib, K., Stein, B. & Wachsmuth, H., 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.). p. 13754-13768 15 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  21. 2023
  22. Published

    AutoML: advanced tool for mining multivariate plant traits

    Shoaib, M., Kotthoff, L., Lindauer, M. & Kant, S., Dec 2023, In: Trends in Plant Science. 28, 12, p. 1451-1452 2 p.

    Research output: Contribution to journal › Article › Research › peer review

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