@article{sijie2024,
title = {EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario},
author = {Li, Sijie and Li, Sha and Zhang, Hao and Li, Shuyang and Chen, Kai and Yuan, Jianyong and Cao, Yi and Yang, Lvqing},
journal = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
year = {2024},
month = {Jan},
}
Li, Sijie et al. (2024). EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).
Li, Sijie, et al.. "EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario." Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024.
Li, Sijie, et al.. "EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario." Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (2024).
Li, Sijie et al., 2024. EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).
TY - JOUR
TI - EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario
AU - Li, Sijie
AU - Li, Sha
AU - Zhang, Hao
AU - Li, Shuyang
AU - Chen, Kai
AU - Yuan, Jianyong
AU - Cao, Yi
AU - Yang, Lvqing
PY - 2024
JO - Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
ER -