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Exploring the Impact of the Output Format on the Evaluation..:

, In: Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering,

Macedo, Marcos ; Tian, Yuan ; Cogo, Filipe. - p. 57-68 , 2024

Link: https://dl.acm.org/doi/10.1145/3650105.3652301

RT 
T1 <cTitle>Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering</cTitle>: T1 <Title>Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3652301&Exemplar=1&LAN=DE
				
A1 Macedo, Marcos
A1 Tian, Yuan
A1 Cogo, Filipe
A1 Adams, Bram
PB ACM
YR 2024
K1 code translation
K1 output format
K1 large language model
K1 LLM
K1 software engineering
K1 benchmarking
K1 evaluation
K1 empirical study
K1 case study
K1 General and reference
K1 Cross-computing tools and techniques
K1 Empirical studies
K1 Evaluation
K1 Software and its engineering
K1 Software notations and tools
K1 General programming languages
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
K1 Machine translation
SP 57
OP 68
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3650105.3652301
DO https://dl.acm.org/doi/10.1145/3650105.3652301
SF ELIB - SuUB Bremen

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