<ul><li>A new visualization tool called 'Landscape of Thoughts' has been introduced to inspect the reasoning paths of large language models (LLMs) on multi-choice datasets.</li><li>The tool represents the states in a reasoning path as feature vectors and visualizes them using t-SNE in two-dimensional plots.</li><li>Qualitative and quantitative analysis with Landscape of Thoughts helps distinguish between strong and weak models, correct and incorrect answers, and highlights different reasoning patterns.</li><li>The tool can also be adapted to predict properties and has been showcased by adapting it to a lightweight verifier that evaluates the correctness of reasoning paths.</li></ul>

Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models

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