作者位次 #2/5ACL 2026Findings· Findings of ACL
P aper S cope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific Papers
Lei Xiong · Huaying Yuan · Zheng Liu · Zhao Cao · Zhicheng Dou
摘要
Leveraging Multi-modal Large Language Models (MLLMs) to accelerate frontier scientific research is promising, yet how to rigorously evaluate such systems remains unclear. Existing benchmarks mainly focus on single-document understanding, whereas real scientific workflows require integrating evide...