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cs.SE2025
ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments
Hojae Han, Seung-won Hwang, Rajhans Samdani +1
Large language models (LLMs) have proven invaluable for code generation, particularly in interactive settings. However, existing code generation benchmarks fail to capture the dive…
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.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…