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DataRecipe --- How to Cook the Data for CodeLLM?
KIM, Kisub; Kim, Jounghoon; Park, Byeongjo et al.
2024In DataRecipe --- How to Cook the Data for CodeLLM?
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Disciplines :
Computer science
Author, co-author :
KIM, Kisub  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > TruX > Team Tegawendé François d A BISSYANDE ; Independent Researcher, Hong Kong, Hong Kong
Kim, Jounghoon ;  HKUST, Hong Kong, Hong Kong
Park, Byeongjo ;  Chungbuk National University, Cheongju, Korea
KIM, Dongsun  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > SerVal ; Korea University, Seoul, Korea
Chong, Chun Yong ;  Monash University, Selangor, Malaysia
Wang, Yuan ;  Independent Researcher, Hong Kong, Hong Kong
SUN, Tiezhu  ;  University of Luxembourg
Tang, Daniel ;  SnT, University of Luxembourg, Luxembourg, Luxembourg
KLEIN, Jacques  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > TruX
BISSYANDE, Tegawendé  ;  University of Luxembourg
External co-authors :
yes
Language :
English
Title :
DataRecipe --- How to Cook the Data for CodeLLM?
Publication date :
27 October 2024
Event name :
39th IEEE/ACM International Conference on Automated Software Engineering
Event place :
Sacramento, United States
Event date :
Sun 27 October - Fri 1 November 2024
Main work title :
DataRecipe --- How to Cook the Data for CodeLLM?
Publisher :
Association for Computing Machinery (ACM), New York City, United States
Peer reviewed :
Peer reviewed
Funders :
National Research Foundation of Korea
European Research Council
Luxembourg National Research Fund
Available on ORBilu :
since 13 November 2024

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