DocHop: benchmarking out-of-domain multi-hop reasoning in information-dense documents
Read the original at arxiv.org→arXiv:2609.02059v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have achieved strong performance on structured visual understanding tasks such as chart and document question answering....
Original headline: "DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents"
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- Sep 3, 04:00 UTC arXiv cs.AI lead source DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents