| 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 | 825 | 2019 |
| 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, 42330-42357, 2023 | 782 | 2023 |
| 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 | 388* | 2022 |
| Gated linear attention transformers with hardware-efficient training S Yang, B Wang, Y Shen, R Panda, Y Kim arXiv preprint arXiv:2312.06635, 2023 | 316 | 2023 |
| 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, ... Association for Computational Linguistics, 2024 | 315 | 2024 |
| 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 | 266* | 2020 |
| Neural segmental hypergraphs for overlapping mention recognition B Wang, W Lu EMNLP 2018, 2018 | 184 | 2018 |
| Gensim: Generating robotic simulation tasks via large language models L Wang, Y Ling, Z Yuan, M Shridhar, C Bao, Y Qin, B Wang, H Xu, ... arXiv preprint arXiv:2310.01361, 2023 | 163 | 2023 |
| Parallelizing linear transformers with the delta rule over sequence length S Yang, B Wang, Y Zhang, Y Shen, Y Kim Advances in neural information processing systems 37, 115491-115522, 2024 | 160 | 2024 |
| 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, 65030-65055, 2023 | 153 | 2023 |
| A neural transition-based model for nested mention recognition B Wang, W Lu, Y Wang, H Jin EMNLP 2018, 2018 | 134 | 2018 |
| Learning latent opinions for aspect-level sentiment classification B Wang, W Lu AAAI 2018, 2018 | 117 | 2018 |
| In-context language learning: Architectures and algorithms E Akyürek, B Wang, Y Kim, J Andreas arXiv preprint arXiv:2401.12973, 2024 | 115 | 2024 |
| Meta-Learning to Compositionally Generalize H Conklin, B Wang, K Smith, I Titov ACL 2021, 2021 | 98 | 2021 |
| Meta-Learning for Domain Generalization in Semantic Parsing B Wang, M Lapata, I Titov NAACL 2021, 2020 | 98 | 2020 |
| 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 | 86 | 2023 |
| 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 | 69 | 2023 |
| Learning to Synthesize Data for Semantic Parsing B Wang, W Yin, XV Lin, C Xiong NAACL 2021, 2021 | 67 | 2021 |
| 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 | 66 | 2022 |
| Learning to decode collaboratively with multiple language models Z Shen, H Lang, B Wang, Y Kim, D Sontag Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 58 | 2024 |
Yoon KimAssociate Professor, MITVerified email at mit.edu
