54 citations · 162 across the 15 of their papers we have counts for
4 papers · 1 filter
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…
How Train-Test Leakage Affects Zero-shot Retrieval
Maik Fröbe, Christopher Akiki, Martin Potthast +1
Neural retrieval models are often trained on (subsets of) the millions of queries of the MS MARCO / ORCAS datasets and then tested on the 250 Robust04 queries or other TREC benchma…
Clickbait Spoiling via Question Answering and Passage Retrieval
Matthias Hagen, Maik Fröbe, Artur Jurk +1
We introduce and study the task of clickbait spoiling: generating a short text that satisfies the curiosity induced by a clickbait post. Clickbait links to a web page and advertise…
SCAI-QReCC Shared Task on Conversational Question Answering
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. SCAI'21 was orga…