| Qwen Technical Report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, F Huang, B Hui, ... Technical Report, 2023 | 1566 | 2023 |
| Qwen2 Technical Report A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ... Technical Report, 2024 | 551 | 2024 |
| 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*, B Li, J Yang, B Li, B Wang, B Qin, R Cao, R Geng, ... NeurIPS 2023, 2023 | 263 | 2023 |
| OctoPack: Instruction Tuning Code Large Language Models N Muennighoff, Q Liu, A Zebaze, Q Zheng, B Hui, TY Zhuo, S Singh, ... ICLR 2024, 2023 | 154 | 2023 |
| StarCoder 2 and The Stack v2: The Next Generation A Lozhkov, R Li, LB Allal, F Cassano, J Lamy-Poirier, N Tazi, A Tang, ... arXiv preprint arXiv:2402.19173, 2024 | 149 | 2024 |
| Multi-view deep subspace clustering networks P Zhu*, B Hui*, C Zhang, D Du, L Wen, Q Hu IEEE Transactions on Cybernetics (T-CYB), 2019 | 106* | 2019 |
| Large language models are versatile decomposers: Decompose evidence and questions for table-based reasoning Y Ye*, B Hui*, M Yang, B Li, F Huang, Y Li SIGIR 2023, 2023 | 96 | 2023 |
| Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing J Li, B Hui, R Cheng, B Qin, C Ma, N Huo, F Huang, W Du, L Si, Y Li AAAI 2023, 2023 | 93 | 2023 |
| A survey on text-to-sql parsing: Concepts, methods, and future directions B Qin, B Hui, L Wang, M Yang, J Li, B Li, R Geng, R Cao, J Sun, L Si, ... arXiv preprint arXiv:2208.13629 1, 2022 | 81* | 2022 |
| S²SQL: Injecting syntax to question-schema interaction graph encoder for text-to-SQL parsers B Hui, R Geng, L Wang, B Qin, B Li, J Sun, Y Li ACL 2022, 2022 | 80 | 2022 |
| PolyLM: An Open Source Polyglot Large Language Model X Wei, H Wei, H Lin, T Li, P Zhang, X Ren, M Li, Y Wan, Z Cao, B Xie, ... Technical Report, 2023 | 66 | 2023 |
| Dynamic hybrid relation exploration network for cross-domain context-dependent semantic parsing B Hui, R Geng, Q Ren, B Li, Y Li, J Sun, F Huang, L Si, P Zhu, X Zhu AAAI 2021, 2021 | 62 | 2021 |
| Self-attention relation network for few-shot learning B Hui, P Zhu, Q Hu, Q Wang ICME 2019, 2019 | 56 | 2019 |
| Collaborative graph convolutional networks: unsupervised learning meets semi-supervised learning B Hui, P Zhu, Q Hu AAAI 2020, 2020 | 55 | 2020 |
| 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, ... ICLR 2024, 2023 | 53* | 2023 |
| Qwen2. 5-Coder Technical Report B Hui, J Yang, Z Cui, J Yang, D Liu, L Zhang, T Liu, J Zhang, B Yu, ... Technical Report, 2024 | 51* | 2024 |
| 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, F Huang, L Si, Y Li KDD 2022, 2022 | 44 | 2022 |
| OpenDevin: An Open Platform for AI Software Developers as Generalist Agents X Wang, B Li, Y Song, FF Xu, X Tang, M Zhuge, J Pan, Y Song, B Li, ... arXiv preprint arXiv:2407.16741, 2024 | 40* | 2024 |
| Improving text-to-sql with schema dependency learning B Hui, X Shi, R Geng, B Li, Y Li, J Sun, X Zhu arXiv preprint arXiv:2103.04399, 2021 | 39* | 2021 |
| One Shot Learning as Instruction Data Prospector for Large Language Models Y Li, B Hui, X Xia, J Yang, M Yang, L Zhang, S Si, J Liu, T Liu, F Huang, ... ACL 2024, 2023 | 38* | 2023 |
Bailin WangMIT CSAILVerified email at mit.edu
