| Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... Journal of Machine Learning Research 24 (240), 1-113, 2023 | 4579 | 2023 |
| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1583 | 2023 |
| Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ... arXiv preprint arXiv:2305.10403, 2023 | 1248 | 2023 |
| A syntactic neural model for general-purpose code generation P Yin, G Neubig ACL 2017, 2017 | 793 | 2017 |
| TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data P Yin, G Neubig, W Yih, S Riedel ACL 2020, 2020 | 538 | 2020 |
| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 451* | 2017 |
| Learning to mine aligned code and natural language pairs from stack overflow P Yin, B Deng, E Chen, B Vasilescu, G Neubig 2018 IEEE/ACM 15th International Conference on Mining Software Repositories …, 2018 | 296 | 2018 |
| Tranx: A transition-based neural abstract syntax parser for semantic parsing and code generation P Yin, G Neubig EMNLP 2018 (Demo Track), 2018 | 248 | 2018 |
| Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... arXiv preprint arXiv:2201.05966, 2022 | 179 | 2022 |
| Learning to represent edits P Yin, G Neubig, M Allamanis, M Brockschmidt, AL Gaunt ICLR 2019, 2018 | 131 | 2018 |
| Dire: A neural approach to decompiled identifier naming J Lacomis, P Yin, E Schwartz, M Allamanis, C Le Goues, G Neubig, ... 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 129 | 2019 |
| Neural enquirer: Learning to query tables with natural language P Yin, Z Lu, H Li, B Kao arXiv preprint arXiv:1512.00965, 2015 | 125 | 2015 |
| Retrieval-based neural code generation SA Hayati, R Olivier, P Avvaru, P Yin, A Tomasic, G Neubig arXiv preprint arXiv:1808.10025, 2018 | 123 | 2018 |
| StructVAE: Tree-structured latent variable models for semi-supervised semantic parsing P Yin, C Zhou, J He, G Neubig ACL 2018, 2018 | 122 | 2018 |
| Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, and Tao Yu. 2022. UnifiedSKG: Unifying and multi-tasking structured knowledge grounding with text-to-text language models T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 108 | 2022 |
| Palm: Scaling language modeling with pathways. arXiv 2022 A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311 10, 2022 | 105 | 2022 |
| Answering questions with complex semantic constraints on open knowledge bases P Yin, N Duan, B Kao, J Bao, M Zhou Proceedings of the 24th ACM international on conference on information and …, 2015 | 95 | 2015 |
| Incorporating external knowledge through pre-training for natural language to code generation FF Xu, Z Jiang, P Yin, B Vasilescu, G Neubig arXiv preprint arXiv:2004.09015, 2020 | 92 | 2020 |
| Reranking for neural semantic parsing P Yin, G Neubig Proceedings of the 57th annual meeting of the association for computational …, 2019 | 75 | 2019 |
| SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended) R Sun, SÖ Arik, A Muzio, L Miculicich, S Gundabathula, P Yin, H Dai, ... arXiv preprint arXiv:2306.00739, 2023 | 62 | 2023 |
Graham NeubigCarnegie Mellon University, All Hands AIE-mail megerősítve itt: cs.cmu.edu
