activity
20152026
most citedThe Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength

31 citations · 31 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2026

A Large-Scale, Cross-Disciplinary Corpus of Systematic Reviews

Pierre Achkar, Tim Gollub, Arno Simons +2

Existing benchmarks for systematic reviewing remain limited either in scale or in disciplinary coverage, with some collections comprising only a modest number of topics and others…

cs.IR2026

A Collection of Systematic Reviews in Computer Science

Pierre Achkar, Tim Gollub amd Martin Potthast

Systematic reviews are the standard method for synthesizing scientific evidence, but their creation requires substantial manual effort, particularly during retrieval and screening.…

cs.CL2025

Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature Summarization

Pierre Achkar, Tim Gollub, Martin Potthast

The exponential growth of scientific publications has made it increasingly difficult for researchers to stay updated and synthesize knowledge effectively. This paper presents XSum,…

cs.CL2018★ 31 cited

The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength

Martin Potthast, Tim Gollub, Matthias Hagen +1

Clickbait has grown to become a nuisance to social media users and social media operators alike. Malicious content publishers misuse social media to manipulate as many users as pos…

cs.CY2015

Evaluation-as-a-Service: Overview and Outlook

Allan Hanbury, Henning Müller, Krisztian Balog +11

Evaluation in empirical computer science is essential to show progress and assess technologies developed. Several research domains such as information retrieval have long relied on…