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DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents

Yu, Zhuoran et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Multimodal Large Language Models (MLLMs) have achieved strong performance on structured visual understanding tasks such as chart and document question answering. However, existing benchmarks typically evaluate these domains in isolation, leaving underexplored a key capability: whether models can use
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