Ferdinand Schlatt

According to our database, Ferdinand Schlatt authored at least 15 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Report on the Collab-a-Thon at ECIR 2024.

Sean MacAvaney, Adam Roegiest, Aldo Lipani, Andrew Parry, Björn Engelmann, Christin Katharina Kreutz, Chuan Meng, Erlend Frayling, Eugene Yang, Ferdinand Schlatt, Guglielmo Faggioli, Harrisen Scells, Iana Atanassova, Jana Friese, Janek Bevendorff, Javier Sanz-Cruzado, Johanne Trippas, Kanaad Pathak, Kaustubh D. Dhole, Leif Azzopardi, Maik Fröbe, Marc Bertin, Nishchal Prasad, Saber Zerhoudi, Shuai Wang, Shubham Chatterjee, Thomas Jänich, Udo Kruschwitz, Xi Wang, Zijun Long

SIGIR Forum, June, 2024

A Systematic Investigation of Distilling Large Language Models into Cross-Encoders for Passage Re-ranking.

Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen

CoRR, 2024

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

CoRR, 2024

Efficiently Scoring the Health-relatedness of Web Pages.

Ferdinand Schlatt

Proceedings of the first International Workshop on Open Web Search co-located with the 46th European Conference on Information Retrieval ECIR 2024, 2024

Investigating the Effects of Sparse Attention on Cross-Encoders.

Ferdinand Schlatt, Maik Fröbe, Matthias Hagen

Proceedings of the Advances in Information Retrieval, 2024

BaselineAvengers at PAN 2024: Often-Forgotten Baselines for LLM-Generated Text Detection.

Ludwig Lorenz, Funda Zeynep Aygüler, Ferdinand Schlatt, Nailia Mirzakhmedova

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Team OpenWebSearch at CLEF 2024: QuantumCLEF.

Maik Fröbe, Daria Alexander, Gijs Hendriksen, Ferdinand Schlatt, Matthias Hagen, Martin Potthast

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Team OpenWebSearch at CLEF 2024: LongEval.

Daria Alexander, Maik Fröbe, Gijs Hendriksen, Ferdinand Schlatt, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, Arjen P. de Vries

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Touché23-Evidence-Retrieval-for-Causal-Questions.

Ferdinand Schlatt, Alexander Bondarenko, Matthias Hagen, Maik Fröbe, Jan Heinrich Reimer

Dataset, August, 2023

Smooth Operators for Effective Systematic Review Queries.

Harrisen Scells, Ferdinand Schlatt, Martin Potthast

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Overview of Touché 2023: Argument and Causal Retrieval - Extended Abstract.

Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Ferdinand Schlatt, Valentin Barrière, Brian Ravenet, Léo Hemamou, Simon Luck, Jan Heinrich Reimer, Benno Stein, Martin Potthast, Matthias Hagen

Proceedings of the Advances in Information Retrieval, 2023

Overview of Touché 2023: Argument and Causal Retrieval.

Alexander Bondarenko, Maik Fröbe, Johannes Kiesel, Ferdinand Schlatt, Valentin Barrière, Brian Ravenet, Léo Hemamou, Simon Luck, Jan Heinrich Reimer, Benno Stein, Martin Potthast, Matthias Hagen

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Webis Health CauseNet 2022.

Ferdinand Schlatt, Dieter Bettin, Matthias Hagen, Benno Stein, Martin Potthast

Dataset, September, 2022

Webis at TREC 2022: Deep Learning and Health Misinformation.

Alexander Bondarenko, Maik Fröbe, Lukas Gienapp, Alexander Pugachev, Jan Heinrich Reimer, Ferdinand Schlatt, Ekaterina Artemova, Martin Potthast, Benno Stein, Pavel Braslavski, Matthias Hagen

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Mining Health-related Cause-Effect Statements with High Precision at Large Scale.

Ferdinand Schlatt, Dieter Bettin, Matthias Hagen, Benno Stein, Martin Potthast

Proceedings of the 29th International Conference on Computational Linguistics, 2022