Author

Denis Bykov

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#natural language process... Preprint Sep 2026

Q2D-Web: A Large-Scale Benchmark for Retrieval in Agentic RAG Systems

Q2D-Web is introduced, a large-scale agentic retrieval benchmark consisting of a 190M-document web corpus and 70k agentic search queries in ten languages, reformulated from real-world user queries in production systems, and benchmark 13 retrievers including lexical, dense, and late-interaction models.

Maximilian Schall, Sedigheh Eslami, Markus Krimmel et al. · 0 citations

Review Aug 2026

WANDR: A Benchmark for Wide and Deep Research

WANDR (Wide ANd Deep Research) is a benchmark of 500 realistic, challenging data-collection tasks for research agents that replaces static gold answer sets with task-specific judges that refetch cited pages and verify each record against its evidence, allowing evaluation of current and changing facts.

Vitaliy Polshkov, Marcin Pitera, Jeremy Yang et al. · 1 citation