2 code implementations • 10 Apr 2024 • Ferdinand Schlatt, Maik Fröbe, Harrisen Scells, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Benno Stein, Martin Potthast, Matthias Hagen
Cross-encoders are effective passage re-rankers.
1 code implementation • 12 Mar 2024 • Andrew Parry, Maik Fröbe, Sean MacAvaney, Martin Potthast, Matthias Hagen
Modern sequence-to-sequence relevance models like monoT5 can effectively capture complex textual interactions between queries and documents through cross-encoding.
1 code implementation • 29 Dec 2023 • Ferdinand Schlatt, Maik Fröbe, Matthias Hagen
Cross-encoders are effective passage and document re-rankers but less efficient than other neural or classic retrieval models.
no code implementations • 8 Nov 2023 • Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guide Zucoon, Benno Stein, Matthias Hagen, Martin Potthast
Recent advances in large language models have enabled the development of viable generative information retrieval systems.
1 code implementation • 30 May 2023 • Maik Fröbe, Jan Heinrich Reimer, Sean MacAvaney, Niklas Deckers, Simon Reich, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast
Standardization is achieved when a retrieval approach implements PyTerrier's interfaces and the input and output of an experiment are compatible with ir_datasets and ir_measures.
2 code implementations • 2 Apr 2023 • Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe, Lukas Gienapp, Harrisen Scells, Benno Stein, Matthias Hagen, Martin Potthast
The Archive Query Log (AQL) is a previously unused, comprehensive query log collected at the Internet Archive over the last 25 years.
no code implementations • 14 Dec 2022 • Niklas Deckers, Maik Fröbe, Johannes Kiesel, Gianluca Pandolfo, Christopher Schröder, Benno Stein, Martin Potthast
Conditional generative models such as DALL-E and Stable Diffusion generate images based on a user-defined text, the prompt.
1 code implementation • 10 Jul 2022 • Lukas Gienapp, Maik Fröbe, Matthias Hagen, Martin Potthast
Pairwise re-ranking models predict which of two documents is more relevant to a query and then aggregate a final ranking from such preferences.
1 code implementation • 29 Jun 2022 • Maik Fröbe, Christopher Akiki, Martin Potthast, Matthias Hagen
We investigate the impact of this unintended train-test leakage by training neural retrieval models on combinations of a fixed number of MS MARCO / ORCAS queries that are highly similar to the actual test queries and an increasing number of other queries.
1 code implementation • ACL 2022 • Matthias Hagen, Maik Fröbe, Artur Jurk, Martin Potthast
We introduce and study the task of clickbait spoiling: generating a short text that satisfies the curiosity induced by a clickbait post.
1 code implementation • LREC 2022 • Svitlana Vakulenko, Johannes Kiesel, Maik Fröbe
Search-Oriented Conversational AI (SCAI) is an established venue that regularly puts a spotlight upon the recent work advancing the field of conversational search.
no code implementations • 21 Nov 2021 • Maik Fröbe, Matthias Hagen, Janek Bevendorff, Michael Völske, Benno Stein, Christopher Schröder, Robby Wagner, Lukas Gienapp, Martin Potthast
Commercial web search engines employ near-duplicate detection to ensure that users see each relevant result only once, albeit the underlying web crawls typically include (near-)duplicates of many web pages.
no code implementations • 15 Jun 2021 • Michael Völske, Alexander Bondarenko, Maik Fröbe, Matthias Hagen, Benno Stein, Jaspreet Singh, Avishek Anand
We investigate whether one can explain the behavior of neural ranking models in terms of their congruence with well understood principles of document ranking by using established theories from axiomatic IR.