AI RESEARCH
Think 360{\deg}: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth
arXiv CS.CV
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ArXi:2603.22689v1 Announce Type: new In this paper, we present a holistic multimodal benchmark that evaluates the reasoning capabilities of MLLMs with an explicit focus on reasoning width, a complementary dimension to the commonly studied reasoning depth. Specifically, reasoning depth measures the model's ability to carry out long-chain, sequential reasoning in which each step is tightly and rigorously linked to the next.