Michael Schröder, Jürgen Cito (2022). An Empirical Investigation of Command-Line Customization.

Empirical Software Engineering, 27 (2022), 30.

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Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury (2020). Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering.

Talk: CIKM 2020: International Conference on Information & Knowledge Management 2020, Virtual Event, Ireland; 12-03-2020 - 12-05-2020; in: “Proceedings of the 29th ACM International Conference on Information & Knowledge Management”, Association for Computing Machinery, (2020), ISBN: 9781450368599; 3031 - 3038.

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Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury (2020). Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation.

ArXiv, 2010.02666 (2020), 1 - 8.

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