… to the SPoC dataset for pseudocodeto-code generation, in … pseudocode annotations and
aim to produce a program satisfy… Search-based Pseudocode to Code (SPoC) dataset (Kulal et …

… We divide the task of pseudocode to code translation into three … C3PO has been trained on
the SPoC dataset (Kulal et al.… In the SPoC dataset, we observed that the mean ratio of copied …

… On the similar lines of Kulal et al. [2019] we use Best-first-search to combine code lines …
We consider the SPoC original test splits TESTP and TESTW as opposed to the random splits …

… code compared to expected code, including metrics like CodeBLEU [31] and ParaBLEU [44].
With advancements in … In a manner similar to pseudocode-to-code training using Machine …

… In line with existing work on code generation (Li et al., 2022b; Chen et al., 2023), we report
the Acc@1 and Acc@10 metrics. Acc@k measures whether at least one of the k sampled …

… systems that are capable of solving general, procedural tasks such as ARC? Traditional
approaches of program … – for any task, there exists a program, written in a predefined Domain …

… code using an energy model with compilability constraints. This paper focuses on the
task of compilable neural code … In Advances in Neural Information Processing Systems 32: …

… Despite much progress on code generation, we argue that these … Yasunaga and Liang [35]
designed a program-feedback … In Advances in Neural Information Processing Systems 32: …

… in the popularity of large language models (LLMs) has also been accompanied by
significant advancements in code-generation LLMs (Code-LLMs). Prominent examples of such …

… With the recent advances of code generation techniques based on Large Language
Models (LLMs), developers are … Advances in neural information processing systems 31 (2018). …