- Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval
Ferdinand Schlatt, Maik Fröbe, Matthias Hagen
2025
- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking
Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
Lecture notes in computer science · 2025
- Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors
Maik Fröbe, Andrew Parry, Ferdinand Schlatt, Sean MacAvaney, Benno Stein, Martin Potthast, Matthias Hagen
2025
- Set-Encoder: Permutation-Invariant Inter-passage Attention for Listwise Passage Re-ranking with Cross-Encoders
Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
Lecture notes in computer science · 2025
- The German Commons-154 Billion Tokens of Openly Licensed Text for German Language Models
L Gienapp, C Schröder, S Schweter, C Akiki, F Schlatt, A Zimmermann, ...
arXiv preprint arXiv:2510.13996 · 2025
- TITE: Token-Independent Text Encoder for Information Retrieval
Ferdinand Schlatt, Thomas Hagen, Martin Potthast, Matthias Hagen
2025
- Variations in Relevance Judgments and the Shelf Life of Test Collections
Andrew Parry, Maik Fröbe, Harrisen Scells, Ferdinand Schlatt, Guglielmo Faggioli, Saber Zerhoudi, Sean MacAvaney, Eugene Yang
2025
