AI RESEARCH
DR$^{3}$-Eval: Towards Realistic and Reproducible Deep Research Evaluation
arXiv CS.AI
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ArXi:2604.14683v1 Announce Type: new Deep Research Agents (DRAs) aim to solve complex, long-horizon research tasks involving planning, retrieval, multimodal understanding, and report generation, yet their evaluation remains challenging due to dynamic web environments and ambiguous task definitions. We propose DR$^{3}$-Eval, a realistic and reproducible benchmark for evaluating deep research agents on multimodal, multi-file report generation.