44 citations · 64 across the 8 of their papers we have counts for
8 papers
Learning Effective Representations for Retrieval Using Self-Distillation with Adaptive Relevance Margins
Lukas Gienapp, Niklas Deckers, Martin Potthast +1
Representation-based retrieval models, so-called bi-encoders, estimate the relevance of a document to a query by calculating the similarity of their respective embeddings. Current…
Evaluating Generative Ad Hoc Information Retrieval
Lukas Gienapp, Harrisen Scells, Niklas Deckers +9
Recent advances in large language models have enabled the development of viable generative retrieval systems. Instead of a traditional document ranking, generative retrieval system…
The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives
Jan Heinrich Reimer, Sebastian Schmidt, Maik Fröbe +5
The Archive Query Log (AQL) is a previously unused, comprehensive query log collected at the Internet Archive over the last 25 years. Its first version includes 356 million queries…
SMAuC -- The Scientific Multi-Authorship Corpus
Janek Bevendorff, Philipp Sauer, Lukas Gienapp +4
The rapidly growing volume of scientific publications offers an interesting challenge for research on methods for analyzing the authorship of documents with one or more authors. Ho…
Sparse Pairwise Re-ranking with Pre-trained Transformers
Lukas Gienapp, Maik Fröbe, Matthias Hagen +1
Pairwise re-ranking models predict which of two documents is more relevant to a query and then aggregate a final ranking from such preferences. This is often more effective than po…
Tracking Discourse Influence in Darknet Forums
Christopher Akiki, Lukas Gienapp, Martin Potthast
This technical report documents our efforts in addressing the tasks set forth by the 2021 AMoC (Advanced Modelling of Cyber Criminal Careers) Hackathon. Our main contribution is a…
STEREO: Scientific Text Reuse in Open Access Publications
Lukas Gienapp, Wolfgang Kircheis, Bjarne Sievers +2
We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains more than 91 million cases of reused text passages fo…
The Impact of Main Content Extraction on Near-Duplicate Detection
Maik Fröbe, Matthias Hagen, Janek Bevendorff +6
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-)dup…