May 14, 2024, 4:43 a.m. | Shuyuan Xu, Zelong Li, Kai Mei, Yongfeng Zhang

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.06907v1 Announce Type: cross
Abstract: Since their inception, programming languages have trended towards greater readability and lower barriers for programmers. Following this trend, natural language can be a promising type of programming language that provides great flexibility and usability and helps towards the democracy of programming. However, the inherent vagueness, ambiguity, and verbosity of natural language pose significant challenges in developing an interpreter that can accurately understand the programming logic and execute instructions written in natural language. Fortunately, recent advancements …

agents ai agents arxiv code core cs.ai cs.cl cs.lg cs.pl flow interpreter language llm natural natural language natural language programming programming type

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