Ferdinand Schlatt

PhD Student at the DBIS Group at the FSU Jena.

prof_pic.jpg

Raum 3233

Ernst-Abbe-Platz 2

07743 Jena

My research is focused on using pre-trained transformer-based language models for information retrieval. I am particularly interested in augmenting the attention mechanism to better align with retrieval tasks in order to imporove the effectiveness and/or efficiency of cross-encoders and bi-encoders.

News

Jun 6, 2025 Invited Talk at the Tübingen University 🇩🇪
Apr 9, 2025 Best Short Paper and Best Paper Honorable Mention at ECIR 2025 🏆
Jun 3, 2024 Invited Talk at the University of Glasgow 🏴󠁧󠁢󠁳󠁣󠁴󠁿

Selected publications

  1. TITE: Token-Independent Text Encoder for Information Retrieval
    Ferdinand Schlatt, Tim Hagen, Martin Potthast, and 1 more author
    In Proceedings of SIGIR 2025, Jul 2025
    PDF Code
  2. Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders
    Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, and 6 more authors
    In Proceedings of ECIR 2025, Apr 2025
    PDF Code
  3. Lightning IR: Straightforward Fine-tuning and Inference of Transformer-based Language Models for Information Retrieval
    Ferdinand Schlatt, Maik Fröbe, and Matthias Hagen
    In Proceedings of WSDM 2025, Mar 2025
    PDF Code
  4. Investigating the Effects of Sparse Attention on Cross-Encoders
    Ferdinand Schlatt, Maik Fröbe, and Matthias Hagen
    In Proceedings of ECIR 2024, Mar 2024
    PDF Url Code