skip to main content
10.1145/3639478.3643076acmconferencesArticle/Chapter ViewAbstractPublication PagesicseConference Proceedingsconference-collections
short-paper

KareCoder: A New Knowledge-Enriched Code Generation System

Published: 23 May 2024 Publication History

Abstract

Large Language Models (LLMs) demonstrate proficiency in handling fundamental programming problems but struggle with complex programming in new types. The study presents KareCoder, integrating programming knowledge into code generation. Initial tests reveal KareCoder's significant success in the Pass@1 metric for complex competitive programming problems.

References

[1]
Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, et al. Measuring coding challenge competence with apps. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2), 2021.
[2]
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, et al. Program synthesis with large language models. arXiv preprint arXiv:2108.07732, 2021.
[3]
Kun Zhou, Yutao Zhu, Zhipeng Chen, Wentong Chen, Wayne Xin Zhao, Xu Chen, Yankai Lin, Ji-Rong Wen, and Jiawei Han. Don't make your llm an evaluation benchmark cheater. arXiv preprint arXiv:2311.01964, 2023.
[4]
OpenAI. Chatgpt. https://OpenAI.com/chatgpt, 2023
[5]
Rongao Li, Jie Fu, Bo-Wen Zhang, Tao Huang, Zhihong Sun, Chen Lyu, Guang Liu, Zhi Jin, and Ge Li. Taco: Topics in algorithmic code generation dataset. arXiv preprint arXiv:2312.14852, 2023.
[6]
Xue Jiang, Yihong Dong, Lecheng Wang, Qiwei Shang, and Ge Li. Self-planning code generation with large language model. arXiv preprint arXiv:2303.06689, 2023.
[7]
Jia Li, Ge Li, Yongmin Li, and Zhi Jin. Structured chain-of-thought prompting for code generation. arXiv preprint arXiv:2305.06599, 2023.

Cited By

View all
  • (2025)Multi-stage guided code generation for Large Language ModelsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.109491139(109491)Online publication date: Jan-2025

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
ICSE-Companion '24: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings
April 2024
531 pages
ISBN:9798400705021
DOI:10.1145/3639478
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

In-Cooperation

  • Faculty of Engineering of University of Porto

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 May 2024

Check for updates

Qualifiers

  • Short-paper

Funding Sources

  • the National Natural Science Foundation of China
  • the Natural Science Foundation of Shandong Province, China

Conference

ICSE-Companion '24
Sponsor:

Acceptance Rates

Overall Acceptance Rate 276 of 1,856 submissions, 15%

Upcoming Conference

ICSE 2025

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)116
  • Downloads (Last 6 weeks)8
Reflects downloads up to 15 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2025)Multi-stage guided code generation for Large Language ModelsEngineering Applications of Artificial Intelligence10.1016/j.engappai.2024.109491139(109491)Online publication date: Jan-2025

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media