Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning

This research presents a new benchmark for evaluating Multimodal Large Language Models (MLLMs) specifically on their ability to perform 'scan-oriented' reasoning over academic papers, moving beyond simple search queries to assess deeper comprehension and extraction capabilities. It addresses a critical gap in current MLLM evaluation.