| Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers B Wang, R Shin, X Liu, O Polozov, M Richardson ACL 2020, 2019 | 463 | 2019 |
| 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, ... EMNLP 2022, 2022 | 229* | 2022 |
| GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing T Yu, CS Wu, XV Lin, B Wang, YC Tan, X Yang, D Radev, R Socher, ... ICLR 2021, 2020 | 192* | 2020 |
| Neural segmental hypergraphs for overlapping mention recognition B Wang, W Lu EMNLP 2018, 2018 | 135 | 2018 |
| A neural transition-based model for nested mention recognition B Wang, W Lu, Y Wang, H Jin EMNLP 2018, 2018 | 111 | 2018 |
| Learning latent opinions for aspect-level sentiment classification B Wang, W Lu AAAI 2018, 2018 | 106 | 2018 |
| Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls J Li, B Hui, G Qu, J Yang, B Li, B Li, B Wang, B Qin, R Geng, N Huo, ... Advances in Neural Information Processing Systems 36, 2024 | 71 | 2024 |
| Meta-Learning for Domain Generalization in Semantic Parsing B Wang, M Lapata, I Titov NAACL 2021, 2020 | 69 | 2020 |
| Meta-Learning to Compositionally Generalize H Conklin, B Wang, K Smith, I Titov ACL 2021, 2021 | 65 | 2021 |
| Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks Z Wu, L Qiu, A Ross, E Akyürek, B Chen, B Wang, N Kim, J Andreas, ... arXiv preprint arXiv:2307.02477, 2023 | 48 | 2023 |
| Learning semantic parsers from denotations with latent structured alignments and abstract programs B Wang, I Titov, M Lapata EMNLP 2019, 2019 | 46 | 2019 |
| Learning to Synthesize Data for Semantic Parsing B Wang, W Yin, XV Lin, C Xiong NAACL 2021, 2021 | 41 | 2021 |
| Combining spans into entities: A neural two-stage approach for recognizing discontiguous entities B Wang, W Lu EMNLP 2019, 2019 | 33 | 2019 |
| Proton: Probing schema linking information from pre-trained language models for text-to-sql parsing L Wang, B Qin, B Hui, B Li, M Yang, B Wang, B Li, J Sun, F Huang, L Si, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 28 | 2022 |
| Structured Reordering for Modeling Latent Alignments in Sequence Transduction B Wang, M Lapata, I Titov NeurIPS 2021, 2021 | 22* | 2021 |
| Grammar prompting for domain-specific language generation with large language models B Wang, Z Wang, X Wang, Y Cao, R A Saurous, Y Kim Advances in Neural Information Processing Systems 36, 2024 | 21 | 2024 |
| Lemur: Harmonizing natural language and code for language agents Y Xu, H Su, C Xing, B Mi, Q Liu, W Shi, B Hui, F Zhou, Y Liu, T Xie, ... arXiv preprint arXiv:2310.06830, 2023 | 18 | 2023 |
| Phenomenal yet puzzling: Testing inductive reasoning capabilities of language models with hypothesis refinement L Qiu, L Jiang, X Lu, M Sclar, V Pyatkin, C Bhagavatula, B Wang, Y Kim, ... arXiv preprint arXiv:2310.08559, 2023 | 11 | 2023 |
| Can LLM already serve as A database interface J Li, B Hui, G Qu, B Li, J Yang, B Li, B Wang, B Qin, R Cao, R Geng, ... A big bench for large-scale database grounded text-to-sqls. CoRR abs/2305.03111, 2023 | 10 | 2023 |
| Gated linear attention transformers with hardware-efficient training S Yang, B Wang, Y Shen, R Panda, Y Kim arXiv preprint arXiv:2312.06635, 2023 | 9 | 2023 |
Wei LuSingapore University of Technology and DesignVerified email at sutd.edu.sg
