Large language models (LLMs) struggle with precise computations, symbolic manipulations, and algorithmic tasks, often requiring structured problem-solving approaches. While language models demonstrate strengths in semantic understanding and common sense reasoning, they are not inherently equipped to handle operations that demand high levels of precision, such as mathematical problem-solving or logic-based decision-making. Traditional approaches attempt to […]
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Keywords: language, models, paper, introduces, symbolicaugmented