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October 10, 2024
In the rapidly evolving world of artificial intelligence (AI), multimodal large language models (MLLMs) have demonstrated remarkable progress in solving a wide range of tasks. These models, capable of processing both text and image data, hold the promise of revolutionizing the way we interact with computers. However, despite their impressive capabilities, MLLMs still face limitations in certain tasks that require more complex spatial reasoning.
To explore the limits of MLLMs, increasingly complex benchmarks have been developed. These benchmarks challenge the models' core capabilities, such as perception, reasoning, and planning. However, previous benchmarks have primarily focused on language-based tasks, neglecting the evaluation of MLLMs' spatial planning abilities.
To address this gap, ING-VP, the first interactive, game-based benchmark for visual planning, has been introduced. ING-VP is specifically designed to assess the spatial reasoning and multi-step reasoning abilities of MLLMs. The benchmark comprises six different games with a total of 300 levels, each presented in six unique configurations.
The results of the benchmark tests were insightful, albeit sobering. Even the most powerful MLLMs, such as Claude-3.5 Sonnet, only achieved an average accuracy of 3.37%. This result clearly demonstrates that current MLLMs are still a long way from mastering complex visual planning tasks.
While the ING-VP benchmark results show that MLLMs are not yet capable of playing simple visual games, they also highlight the need for further research in this area. The development of MLLMs with strong spatial reasoning and planning capabilities is crucial for creating AI systems that can effectively perform real-world tasks. ING-VP provides a valuable framework for evaluating and comparing future MLLMs and will hopefully help drive the development of models that can successfully operate in complex, visual environments.
As a German company for AI-powered content creation and optimization, Mindverse is following these developments with great interest. Mindverse offers an all-in-one platform for AI text generation, content creation, image generation, research, and much more. The company also develops customized AI solutions such as chatbots, voicebots, AI search engines, and knowledge systems.
The challenge of equipping MLLMs with complex spatial reasoning abilities is significant but not insurmountable. With continued research and development, we are sure to witness AI systems that surpass our expectations in terms of visual planning and problem-solving. Mindverse is committed to playing its part in this exciting journey and supporting companies in harnessing the full potential of AI.
