For middle-school math students, interactive question-answering (QA) with tutors is an
effective way to learn. The flexibility and emergent capabilities of generative large language …

LongEval-Retrieval is a Web document retrieval benchmark that focuses on continuous
retrieval evaluation. This test collection is intended to be used to study the temporal …

The first International Workshop on Open Web Search (WOWS) was held on Thursday,
March 28th, at ECIR 2024 in Glasgow, UK. The full-day workshop had two calls for …

Search methods based on Pretrained Language Models (PLM) have demonstrated great
effectiveness gains compared to statistical and early neural ranking models. However, fine …

Evaluating retrieval performance without editorial relevance judgments is challenging, but
instead, user interactions can be used as relevance signals. Living labs offer a way for small …

Large language models (LLMs) are flexible, personalizable, and available, which makes
their use within Intelligent Tutoring Systems (ITSs) appealing. However, their flexibility …

This work reports our participation in the retrieval task of the second LongEval lab iteration at
CLEF 2024. As part of this year's contribution, we analyze to which extent prior relevance …

Providing effective access paths to content is a key task in digital libraries. Oftentimes, such
access paths are realized through advanced query languages, which, on the one hand …

The reproducibility of earlier findings is fundamental to the empirical sciences. Even though
this circumstance is widely acknowledged, several systematic large-scale reproducibility …

Neural ranking and retrieval models based on pretrained language models have
demonstrated great effectiveness gains for Information Retrieval (IR) in the web domain …