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Paper · arXiv

Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games?

Vision-Language(-Action) Models (VLMs) are increasingly applied to interactive environments, yet existing benchmarks often overlook the complex physical reasoning required for point-and-click puzzle games. This paper introduces Vision-Language Against The Incredible Machine (VLATIM), a benchmark designed to evaluate human-like logical problem-solving capabilities within the classic physics puzzle game The Incredible Machine 2 (TIM). Unlike existing benchmarks, VLATIM specifically targets the critical gap between high-level logical reasoning and continuous action spaces requiring precise mouse interactions. This benchmark is structured into five progressive parts, assessing capabilities th...

AuthorsMaximilian Triebel, Marco Menner, Dominik Helfenstein
Primary categorycs.AI
Published11 May 2026
Last updated at source17 May 2026
cs.AI
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