A new benchmark called LEGO-Puzzles has been introduced to evaluate the multi-step spatial reasoning capabilities of Multimodal Large Language Models (MLLMs). The benchmark, inspired by LEGO construction, includes tasks for elementary spatial understanding and step-by-step planning for assembling LEGO structures. Evaluations of 29 state-of-the-art MLLMs revealed significant limitations, with even the best models performing substantially below human accuracy on elementary tasks and failing to plan beyond a few steps. AI
IMPACT Highlights critical limitations in current MLLMs' spatial reasoning, indicating a need for significant advancements in multimodal AI.
RANK_REASON The cluster contains a new academic paper introducing a benchmark for evaluating AI capabilities. [lever_c_demoted from research: ic=1 ai=1.0]
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