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cs.IR2026
MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval
Siyue Zhang, Yuan Gao, Xiao Zhou +5
We introduce MRMR, the first expert-level multidisciplinary multimodal retrieval benchmark requiring intensive reasoning. MRMR contains 1,502 queries spanning 23 domains, with posi…
cs.IR2026
SAGE: Benchmarking and Improving Retrieval for Deep Research Agents
Tiansheng Hu, Yilun Zhao, Canyu Zhang +2
Deep research agents have emerged as powerful systems for addressing complex queries. Meanwhile, LLM-based retrievers have demonstrated strong capability in following instructions…