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cs.SE2024
PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation
Jaeseok Yoo, Hojae Han, Youngwon Lee +2
Code generation with large language models has shown significant promise, especially when employing retrieval-augmented generation (RAG) with few-shot examples. However, selecting…
cs.CL2024
Arctic-SnowCoder: Demystifying High-Quality Data in Code Pretraining
Yuxiang Wei, Hojae Han, Rajhans Samdani
Recent studies have been increasingly demonstrating that high-quality data is crucial for effective pretraining of language models. However, the precise definition of "high-quality…
cs.SE2024
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models
Hojae Han, Jaejin Kim, Jaeseok Yoo +2
This paper aims to extend the code generation capability of large language models (LLMs) to automatically manage comprehensive software requirements from given textual descriptions…