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What is VLMs as Evaluators in Path Planning about?

This paper introduces PATH E VAL, a benchmark for evaluating Vision-Language Models (VLMs) as evaluators in complex path planning scenarios. The study reveals that while VLMs can abstract path traits and perform high-level reasoning, they struggle with low-level perception, particularly in intricate environments. The findings suggest that task-specific adaptations of vision encoders are necessary for VLMs to effectively assess paths in planning tasks.

Author

60yelah

Language

EN