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

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 …

agents ai paper ai shorts applications artificial artificial intelligence become code complexity control editors pick embodied embodied ai environment general intelligence language language model language models large language large language model large language models llms machine learning paper problem-solving reasoning role semantic skills staff tech news technology