| K-bert: Enabling language representation with knowledge graph W Liu, P Zhou, Z Zhao, Z Wang, Q Ju, H Deng, P Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2901-2908, 2020 | 922 | 2020 |
| Starcoder: may the source be with you! R Li, LB Allal, Y Zi, N Muennighoff, D Kocetkov, C Mou, M Marone, C Akiki, ... arXiv preprint arXiv:2305.06161, 2023 | 838* | 2023 |
| Fastbert: a self-distilling bert with adaptive inference time W Liu, P Zhou, Z Zhao, Z Wang, H Deng, Q Ju Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 365 | 2020 |
| Tuta: Tree-based transformers for generally structured table pre-training Z Wang, H Dong, R Jia, J Li, Z Fu, S Han, D Zhang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 144 | 2021 |
| Docprompting: Generating Code by Retrieving the Docs S Zhou, U Alon, FF Xu, Z Wang, Z Jiang, G Neubig The Eleventh International Conference on Learning Representations, 2022 | 121 | 2022 |
| Hitab: A hierarchical table dataset for question answering and natural language generation Z Cheng, H Dong, Z Wang, R Jia, J Guo, Y Gao, S Han, JG Lou, D Zhang Proceedings of the 60th Annual Meeting of the Association for Computational …, 2021 | 77 | 2021 |
| Learning to filter context for retrieval-augmented generation Z Wang, J Araki, Z Jiang, MR Parvez, G Neubig arXiv preprint arXiv:2311.08377, 2023 | 63 | 2023 |
| Execution-based evaluation for open-domain code generation Z Wang, S Zhou, D Fried, G Neubig Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 61 | 2022 |
| Mconala: a benchmark for code generation from multiple natural languages Z Wang, G Cuenca, S Zhou, FF Xu, G Neubig Findings of the Association for Computational Linguistics: EACL 2023, 2022 | 38 | 2022 |
| SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs L Yu, Y Cheng, Z Wang, V Kumar, W Macherey, Y Huang, DA Ross, ... Advances in Neural Information Processing Systems (NeurIPS 2023), 2023 | 36 | 2023 |
| Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer Z Jiang, L Gao, J Araki, H Ding, Z Wang, J Callan, G Neubig Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 32 | 2022 |
| Table Retrieval May Not Necessitate Table-specific Model Design Z Wang, Z Jiang, E Nyberg, G Neubig Proceedings of the Workshop on Structured and Unstructured Knowledge …, 2022 | 16 | 2022 |
| Structure-aware pre-training for table understanding with tree-based transformers Z Wang, H Dong, R Jia, J Li, Z Fu, S Han, D Zhang arXiv preprint arXiv:2010.12537, 2020 | 14 | 2020 |
| What are tools anyway? a survey from the language model perspective Z Wang, Z Cheng, H Zhu, D Fried, G Neubig arXiv preprint arXiv:2403.15452, 2024 | 11 | 2024 |
| RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems J Hsia, A Shaikh, Z Wang, G Neubig arXiv preprint arXiv:2403.09040, 2024 | 7 | 2024 |
| Trove: Inducing verifiable and efficient toolboxes for solving programmatic tasks Z Wang, D Fried, G Neubig arXiv preprint arXiv:2401.12869, 2024 | 7 | 2024 |
| API-Assisted Code Generation for Question Answering on Varied Table Structures Y Cao, S Chen, R Liu, Z Wang, D Fried Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 7 | 2023 |
| Large Language Models for Tabular Data: Progresses and Future Directions H Dong, Z Wang Association for Computing Machinery, 2024 | 6 | 2024 |
| Agent workflow memory ZZ Wang, J Mao, D Fried, G Neubig arXiv preprint arXiv:2409.07429, 2024 | 5 | 2024 |
| Improving Factuality of Abstractive Summarization via Contrastive Reward Learning IC Chern, Z Wang, S Das, B Sharma, P Liu, G Neubig Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing …, 2023 | 5 | 2023 |
Graham NeubigCarnegie Mellon University, All Hands AIEmail verificata su cs.cmu.edu
