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Official Repository for "Revisiting the Impact of Pursuing Modularity for Code Generation"

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Name		Name	Last commit message	Last commit date
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apps		apps
codecontests		codecontests
README.md		README.md

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Revisiting the Impact of Pursuing Modularity for Code Generation

Official Repository for "Revisiting the Impact of Pursuing Modularity for Code Generation" [Paper(arXiv)]

Deokyeong Kang, Kijung Seo, Taeuk Kim. Accepted to EMNLP 2024 Findings

Contents

apps: source codes for APPS dataset
- In-Context Learning: icl.py
codecontests: source codes for CodeContests dataset
- Modularity score (MoS) metric: utils/utils.py
- In-Context Learning: icl.py
- Fine-tuning: ft.py
- Correlation experiment: icl_corr.py
- Perplexity experiment: ppl.py

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