论文提出了一种新方法,称为Program-Aided Language Model (PAL),该方法让LLM生成程序作为中间推理步骤,而将实际求解步骤交给外部的Python解释器来完成。具体而言,LLM负责将自然语言问题分解成可运行的编程步骤,这些步骤由Python解释器执行以生成最终答案。PAL的核心在于,LLM只负责问题的分解和编程,避免了计算错误的发生。
program-aided language modelsprogram-aided language models 程序辅助语言模型(Program-aided Language Models)是一种采用程序辅助词汇和语法模型来提高自然语言处理准确性的模型。它与传统的语言模型不同,传统的语言模型主要通过统计方法,分析语言的规律,来预测下一个词或一段文本的语法和语义。而程序辅助语言模型则在此...
1Language Technologies Institute, School of CS, Carnegie Mellon University 2Inspired Cognition,*Equal contribution PaperColabCodeData PALgenerates a Python program to solve a task from its natural language description. Abstract We presentProgram-Aided Language models (PAL): a new method that uses the...
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Automated, data-driven construction and evaluation of scientific models and theories is a long-standing challenge in artificial intelligence. We present a framework for algorithmically synthesizing models of a basic part of human language: morpho-phonolo
3. Program-aided Language Models 在程序辅助语言模型中,我们提出了一种方法,为给定的自然语言问题x生成思想t,它们是交错的自然语言(NL)和编程语言(PL)语句。由于我们将解决方案步骤委托给解释器,因此我们不会在提示中提供最终答案。也就是说,PAL中的每个上下文示例都是一对hxi,tii,其中tj = [s1,s2,…,sN],...
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Vukobratović, M., Kirćanski, N., Timčenko, A., Kirćanski, M. SYM-program package for computer-aided generation of optimal symbolic models of robot manipulators. In: Schiehlen, W. eds. (1990) Multibody systems Handbook. Springer-Verlag, New York...
This paper investigates the capabilities of the Large Language Models (LLMs) in offering a new solution towards this old, yet important problem. To that end, we first curate a dataset of verification problems on programs with loops. Next, we design a prompt for exploiting LL...
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