- 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
- Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval
Ferdinand Schlatt, Maik Fröbe, Matthias Hagen
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
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 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
- 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
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 2025
- TITE: Token-Independent Text Encoder for Information Retrieval
Ferdinand Schlatt, Tim Hagen, Martin Potthast, Matthias Hagen
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 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
