| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024 | 759 | 2024 |
| Codet: Code generation with generated tests B Chen, F Zhang, A Nguyen, D Zan, Z Lin, JG Lou, W Chen arXiv preprint arXiv:2207.10397, 2022 | 305 | 2022 |
| TAPEX: Table pre-training via learning a neural SQL executor Q Liu, B Chen, J Guo, M Ziyadi, Z Lin, W Chen, JG Lou arXiv preprint arXiv:2107.07653, 2021 | 227 | 2021 |
| Making language models better reasoners with step-aware verifier Y Li, Z Lin, S Zhang, Q Fu, B Chen, JG Lou, W Chen Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 164 | 2023 |
| On the advance of making language models better reasoners Y Li, Z Lin, S Zhang, Q Fu, B Chen, JG Lou, W Chen arXiv preprint arXiv:2206.02336, 2022 | 137 | 2022 |
| CERT: continual pre-training on sketches for library-oriented code generation D Zan, B Chen, D Yang, Z Lin, M Kim, B Guan, Y Wang, W Chen, JG Lou arXiv preprint arXiv:2206.06888, 2022 | 115 | 2022 |
| Reasoning like program executors X Pi, Q Liu, B Chen, M Ziyadi, Z Lin, Q Fu, Y Gao, JG Lou, W Chen arXiv preprint arXiv:2201.11473, 2022 | 66 | 2022 |
| Intelligent development environment and software knowledge graph ZQ Lin, B Xie, YZ Zou, JF Zhao, XD Li, J Wei, HL Sun, G Yin Journal of Computer Science and Technology 32, 242-249, 2017 | 66 | 2017 |
| When language model meets private library D Zan, B Chen, Z Lin, B Guan, Y Wang, JG Lou arXiv preprint arXiv:2210.17236, 2022 | 65 | 2022 |
| Learning from mistakes makes llm better reasoner S An, Z Ma, Z Lin, N Zheng, JG Lou, W Chen arXiv preprint arXiv:2310.20689, 2023 | 62 | 2023 |
| How Do In-Context Examples Affect Compositional Generalization? S An, Z Lin, Q Fu, B Chen, N Zheng, JG Lou, D Zhang arXiv preprint arXiv:2305.04835, 2023 | 46 | 2023 |
| Cora: Decomposing and describing tangled code changes for reviewer M Wang, Z Lin, Y Zou, B Xie 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 45 | 2019 |
| Mining api usage examples from test code Z Zhu, Y Zou, B Xie, Y Jin, Z Lin, L Zhang 2014 IEEE International Conference on Software Maintenance and Evolution …, 2014 | 44 | 2014 |
| Input-tuning: Adapting unfamiliar inputs to frozen pretrained models S An, Y Li, Z Lin, Q Liu, B Chen, Q Fu, W Chen, N Zheng, JG Lou arXiv preprint arXiv:2203.03131, 2022 | 42 | 2022 |
| Adaptive deep code search C Ling, Z Lin, Y Zou, B Xie Proceedings of the 28th International Conference on Program Comprehension, 48-59, 2020 | 42 | 2020 |
| Hierarchical poset decoding for compositional generalization in language Y Guo, Z Lin, JG Lou, D Zhang Advances in Neural Information Processing Systems 33, 6913-6924, 2020 | 37 | 2020 |
| Make Your LLM Fully Utilize the Context S An, Z Ma, Z Lin, N Zheng, JG Lou arXiv preprint arXiv:2404.16811, 2024 | 33 | 2024 |
| Revisiting iterative back-translation from the perspective of compositional generalization Y Guo, H Zhu, Z Lin, B Chen, JG Lou, D Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7601-7609, 2021 | 33 | 2021 |
| Improving software text retrieval using conceptual knowledge in source code Z Lin, Y Zou, J Zhao, B Xie 2017 32nd IEEE/ACM International Conference on Automated Software …, 2017 | 33 | 2017 |
| Making large language models better reasoners with step-aware verifier Y Li, Z Lin, S Zhang, Q Fu, B Chen, JG Lou, W Chen arXiv preprint arXiv:2206.02336, 2022 | 32 | 2022 |