Phi-3 technical report: A highly capable language model locally on your phone M Abdin, SA Jacobs, AA Awan, J Aneja, A Awadallah, H Awadalla, ... arXiv preprint arXiv:2404.14219, 2024 | 234 | 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 | 231 | 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 | 197 | 2021 |
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 | 125 | 2022 |
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 | 118 | 2023 |
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 | 92 | 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 | 65 | 2017 |
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 | 60 | 2022 |
When language model meets private library D Zan, B Chen, Z Lin, B Guan, Y Wang, JG Lou arXiv preprint arXiv:2210.17236, 2022 | 50 | 2022 |
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 | 43 | 2014 |
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 | 39 | 2019 |
Adaptive deep code search C Ling, Z Lin, Y Zou, B Xie Proceedings of the 28th International Conference on Program Comprehension, 48-59, 2020 | 38 | 2020 |
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 | 37 | 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 | 36 | 2023 |
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 | 35 | 2020 |
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 | 32 | 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 | 32 | 2017 |
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 | 27 | 2023 |
Compositional generalization by learning analytical expressions Q Liu, S An, JG Lou, B Chen, Z Lin, Y Gao, B Zhou, N Zheng, D Zhang Advances in Neural Information Processing Systems 33, 11416-11427, 2020 | 23 | 2020 |
Skill-based few-shot selection for in-context learning S An, B Zhou, Z Lin, Q Fu, B Chen, N Zheng, W Chen, JG Lou arXiv preprint arXiv:2305.14210, 2023 | 20 | 2023 |