… 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 …

… 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). …

… The lower part is an instance of functionality synthesis, where the input is basically a
pseudo-code program described in natural language that can directly translate into Python code. …

… , Spoc has recognized the significance of pseudocode and explores its potential for aiding
code … repair area, which can be classified into three categories: i) Search-based. This type of …

… Auto-remediation techniques can optimize resource allocation, tune code, or trigger automatic
… In this work in progress paper, we propose a pipeline for automatic anomaly detection and …

… We begin by describing pass@k (Kulal et al., 2019), the current main approach for … , Oded
Padon, Alex Aiken, and Percy S Liang. Spoc: Search-based pseudocode to code. In H. Wallach…

… However, search-based approaches encounter the intractability of the … Prior works [28–34]
have made advances in code … language and not include any form of code or pseudo-code. …