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Vincent Hellendoorn
Vincent Hellendoorn
Email verificata su cmu.edu - Home page
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Citata da
Citata da
Anno
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
24642023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
9722024
A systematic evaluation of large language models of code
FF Xu, U Alon, G Neubig, VJ Hellendoorn
Proceedings of the 6th ACM SIGPLAN International Symposium on Machine …, 2022
6912022
Are deep neural networks the best choice for modeling source code?
VJ Hellendoorn, P Devanbu
Proceedings of the 2017 11th Joint meeting on foundations of software …, 2017
4202017
On the "naturalness" of buggy code
B Ray, V Hellendoorn, S Godhane, Z Tu, A Bacchelli, P Devanbu
Software Engineering (ICSE), 2016 IEEE/ACM 38th International Conference on …, 2016
370*2016
Global Relational Models of Source Code
VJ Hellendoorn, Maniatis, P, R Singh, C Sutton, D Bieber
International Conference on Learning Representations, 2020
2752020
Deep learning type inference
VJ Hellendoorn, C Bird, ET Barr, M Allamanis
Proceedings of the 2018 26th acm joint meeting on european software …, 2018
2552018
Using an llm to help with code understanding
D Nam, A Macvean, V Hellendoorn, B Vasilescu, B Myers
Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024
1632024
Will they like this? evaluating code contributions with language models
VJ Hellendoorn, PT Devanbu, A Bacchelli
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 157-167, 2015
982015
When code completion fails: A case study on real-world completions
VJ Hellendoorn, S Proksch, HC Gall, A Bacchelli
2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019
972019
Cacheca: A cache language model based code suggestion tool
C Franks, Z Tu, P Devanbu, V Hellendoorn
2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015
832015
Large language models for test-free fault localization
AZH Yang, C Le Goues, R Martins, V Hellendoorn
Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024
772024
Patching as translation: the data and the metaphor
Y Ding, B Ray, P Devanbu, VJ Hellendoorn
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
702020
Understanding Neural Code Intelligence Through Program Simplification
M Rafiqul Islam Rabin, VJ Hellendoorn, MA Alipour
arXiv e-prints, arXiv: 2106.03353, 2021
63*2021
Diffuser: Diffusion via edit-based reconstruction
M Reid, VJ Hellendoorn, G Neubig
The Eleventh International Conference on Learning Representations, 2023
56*2023
Memorization and Generalization in Neural Code Intelligence Models
M Rafiqul Islam Rabin, A Hussain, MA Alipour, VJ Hellendoorn
arXiv e-prints, arXiv: 2106.08704, 2021
43*2021
Revisiting test smells in automatically generated tests: limitations, pitfalls, and opportunities
A Panichella, S Panichella, G Fraser, AA Sawant, VJ Hellendoorn
2020 IEEE international conference on software maintenance and evolution …, 2020
392020
CAT-LM training language models on aligned code and tests
N Rao, K Jain, U Alon, C Le Goues, VJ Hellendoorn
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
372023
Patch generation with language models: Feasibility and scaling behavior
SD Kolak, R Martins, C Le Goues, VJ Hellendoorn
Deep Learning for Code Workshop, 2022
372022
Perceived language complexity in GitHub issue discussions and their effect on issue resolution
D Kavaler, S Sirovica, V Hellendoorn, R Aranovich, V Filkov
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
372017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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