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CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

, , , and . EMNLP (1), page 8696-8708. Association for Computational Linguistics, (2021)

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xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval., , , , , and . CoRR, (2023)Evaluation of Smart Healthcare Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness and Sustainability., , , , , , , , , and 2 other author(s). UV, page 1-28. IEEE, (2020)An Innovative Algorithm to Process Imaging Data for Detection of Weak Chick Embryos in Vaccine Production., , , , , , , , , and 3 other author(s). UV, page 1-8. IEEE, (2020)Fengyun-3D/MERSI-II Cloud Thermodynamic Phase Determination Using a Machine-Learning Approach., , , , and . Remote. Sens., 13 (12): 2251 (2021)Retrieving Multimodal Information for Augmented Generation: A Survey., , , , , , , , , and 1 other author(s). CoRR, (2023)RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair., , , and . ESEC/SIGSOFT FSE, page 146-158. ACM, (2023)Response Selection for Multi-Party Conversations with Dynamic Topic Tracking., , and . EMNLP (1), page 6581-6591. Association for Computational Linguistics, (2020)Retrieving Multimodal Information for Augmented Generation: A Survey., , , , , , , , , and 1 other author(s). EMNLP (Findings), page 4736-4756. Association for Computational Linguistics, (2023)CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation., , , and . EMNLP (1), page 8696-8708. Association for Computational Linguistics, (2021)Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models., , , and . EMNLP, page 6954-6968. Association for Computational Linguistics, (2023)