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1 Ergebnisse
1
Delving into Parameter-Efficient Fine-Tuning in Code Change..:
, In:
2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
,
Liu, Shuo
;
Keung, Jacky
;
Yang, Zhen
... - p. 465-476 , 2024
Link:
https://doi.org/10.1109/SANER60148.2024.00055
RT T1 <cTitle>2024 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</cTitle>: T1 <Title>Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10589847&Exemplar=1&LAN=DE A1 Liu, Shuo A1 Keung, Jacky A1 Yang, Zhen A1 Liu, Fang A1 Zhou, Qilin A1 Liao, Yihan YR 2024 SN 2640-7574 K1 Training K1 Codes K1 Computational modeling K1 Semantics K1 Memory management K1 Software K1 Computational efficiency K1 Pre-trained Language Models K1 Adapter Tuning K1 Low-Rank Adaptation K1 Code Change SP 465 OP 476 LK http://dx.doi.org/https://doi.org/10.1109/SANER60148.2024.00055 DO https://doi.org/10.1109/SANER60148.2024.00055 SF ELIB - SuUB Bremen
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