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README.md

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 ## About
-Developed by **Menlo Research**, **AlphaMaze** is a novel model for evaluating and enhancing visual reasoning in large language models (LLMs). AlphaMaze challenges models with a deceptively simple task: solving mazes presented entirely in text. We further enhance AlphaMaze's capabilities using the GRPO (Generalized Relative Policy Optimization) method.
+Developed by **Menlo Research**, **AlphaMaze** is a novel model for evaluating and enhancing visual reasoning in LLMs. AlphaMaze challenges models with a deceptively simple task: solving mazes presented entirely in text. We further enhance AlphaMaze's capabilities using the GRPO (Generalized Relative Policy Optimization) method.
 
 Prior research, like [Microsoft's "Multimodal Visualization-of-Thought (MVoT)"](https://arxiv.org/abs/2501.07542), explored visual reasoning through image generation.  But AlphaMaze takes a different, more focused path.  We believe that if a model can internally reconstruct a maze from a text description and use that *mental map* to plan its moves, it demonstrates a genuine capacity for visual reasoning – even without generating a single image.  AlphaMaze moves beyond the limitations of multiple-choice evaluations, providing a richer, more nuanced assessment of a model's spatial understanding.  We're not just testing if a model *can* solve a maze; we're revealing *how* it thinks about space.