output
20002026
most citedUsing Bad Learners to find Good Configurations

123 citations

298 papers

cs.IR2026

The WebKurator.de Platform: Combined Regional and Topical Web Curation

Michael Dinzinger, Natanael Arndt, Ben Böck +2

The systematic curation of the Web remains a central challenge for national libraries and memory institutions that aim to preserve culturally and regionally relevant content. Exist…

cs.IR2026

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions

Saber Zerhoudi

User simulators are increasingly central to interactive information retrieval, yet the community lacks standardized evaluation tools. Simulators serve two objectives, behavioral re…

cs.IR2026

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit misma…

cs.IR2026

AgentSim: A Platform for Verifiable Agent-Trace Simulation

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic

Training trustworthy agentic LLMs requires data that shows the grounded reasoning process, not just the final answer. Existing datasets fall short: question-answering data is outco…

cs.IR2026

IIRSim Studio: A Dashboard for User Simulation

Saber Zerhoudi, Adam Roegiest, Michael Granitzer

User simulation is a valuable methodology for evaluation in Information Retrieval (IR), enabling low-cost experimentation and counterfactual analysis. However, existing simulation…

cs.CY2026

The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?

Jennifer Meyer, Olaf Köller, Thorben Jansen +33

With digital learning environments becoming more prevalent, the ease with which generative AI enables the scalable production of real-time, automated feedback holds the potential t…