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 the efficiency of cross-encoders and bi-encoders for retrieval tasks. I am also interested in the application of these models to the biomedical domain.

News

Selected publications

  1. Investigating the Effects of Sparse Attention on Cross-Encoders
    Ferdinand Schlatt, Maik Fröbe, and Matthias Hagen
    In Proceedings of ECIR 2024, Mar 2024
  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
    CoRR, Apr 2024