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Obara, Momoka
5  Ergebnisse:
Personensuche X
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1

Training AI Model that Suggests Python Code from Student Re..:

Kuramitsu, Kimio ; Obara, Momoka ; Sato, Miyu.
Journal of Information Processing.  32 (2024)  0 - p. 69-76 , 2024
Link: https://doi.org/10.2197/..
 
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2

KOGI: A Seamless Integration of ChatGPT into Jupyter Enviro..:

, In: Proceedings of the 2023 ACM SIGPLAN International Symposium on SPLASH-E,
Kuramitsu, Kimio ; Obara, Yui ; Sato, Miyu. - p. 50-59 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

Can ChatGPT Correct Code Based on Logical Steps?:

, In: 2023 30th Asia-Pacific Software Engineering Conference (APSEC),
Souma, Nao ; Ito, Waka ; Obara, Momoka... - p. 653-654 , 2023
Link: https://doi.org/10.1109/..
 
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4

NMT-Based Code Generation for Coding Assistance with Natura..:

Akinobu, Yuka ; Kajiura, Teruno ; Obara, Momoka.
Journal of Information Processing.  30 (2022)  0 - p. 443-450 , 2022
Link: https://doi.org/10.2197/..
 
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5

Is neural machine translation approach accurate enough for ..:

, In: Proceedings of the 1st ACM SIGPLAN International Workshop on Beyond Code: No Code,
Akinobu, Yuka ; Obara, Momoka ; Kajiura, Teruno... - p. 23-28 , 2021
Link: https://dl.acm.org/doi/1..
 
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