LiveResearchBench: A Live Benchmark for User-Centric Deep Research in
  the Wild
Authors: name: Jiayu Wang, name: Yifei Ming, name: Riya Dulepet, name: Qinglin Chen, name: Austin Xu, name: Zixuan Ke, name: Frederic Sala, name: Aws Albarghouthi, name: Caiming Xiong, name: Shafiq Joty
Organization: Salesforce AI Research

Deep research -- producing comprehensive, citation-grounded reports by
searching and synthesizing information from hundreds of live web sources --
marks an important frontier for agentic systems. To rigorously evaluate this
ability, four principles are essential: tasks should be (1) user-centric,
reflecting realistic information needs, (2) dynamic, requiring up-to-date
information beyond parametric knowledge, (3) unambiguous, ensuring consistent
interpretation across users, and (4) multi-faceted and search-intensive,
requiring search over numerous web sources and in-depth analysis. Existing
benchmarks fall short of these principles, often focusing on narrow domains or
posing ambiguous questions that hinder fair comparison. Guided by these
principles, we introduce LiveResearchBench, a benchmark of 100 expert-curated
tasks spanning daily life, enterprise, and academia, each requiring extensive,
dynamic, real-time web search and synthesis. Built with over 1,500 hours of
human labor, LiveResearchBench provides a rigorous basis for systematic
evaluation. To evaluate citation-grounded long-form reports, we introduce
DeepEval, a comprehensive suite covering both content- and report-level
quality, including coverage, presentation, citation accuracy and association,
consistency and depth of analysis. DeepEval integrates four complementary
evaluation protocols, each designed to ensure stable assessment and high
agreement with human judgments. Using LiveResearchBench and DeepEval, we
conduct a comprehensive evaluation of 17 frontier deep research systems,
including single-agent web search, single-agent deep research, and multi-agent
systems. Our analysis reveals current strengths, recurring failure modes, and
key system components needed to advance reliable, insightful deep research.