Sept. 3, 2023, 11:45 a.m. | Aneesh Tickoo


Large language models (LLMs) have become a general-purpose approach to embodied artificial intelligence problem-solving. When agents need to understand the semantic nuances of their environment for efficient control, LLMs’ reasoning skills are crucial in embodied AI. Recent methods, which they refer to as “programs of thought,” use programming languages as an improved prompting system for […]

The post This AI Paper Introduces the Complexity-Impacted Reasoning Score (CIRS): Evaluating the Role of Code Complexity in Enhancing the Reasoning Abilities of Large …

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