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 | 215 | 2024 |
A weighted combination method for conflicting evidence in multi-sensor data fusion F Xiao, B Qin Sensors 18 (5), 1487, 2018 | 85 | 2018 |
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 Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13076 …, 2023 | 80 | 2023 |
SSQL: 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 arXiv preprint arXiv:2203.06958, 2022 | 75 | 2022 |
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, 2022 | 63 | 2022 |
A fuzzy preference-based Dempster-Shafer evidence theory for decision fusion C Zhu, B Qin, F Xiao, Z Cao, HM Pandey Information Sciences 570, 306-322, 2021 | 58 | 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 | 42 | 2022 |
A non-parametric method to determine basic probability assignment based on kernel density estimation B Qin, F Xiao IEEE Access 6, 73509-73519, 2018 | 36 | 2018 |
Flm-101b: An open llm and how to train it with $100 k budget X Li, Y Yao, X Jiang, X Fang, X Meng, S Fan, P Han, J Li, L Du, B Qin, ... arXiv preprint arXiv:2309.03852, 2023 | 20 | 2023 |
FR–KDE: a hybrid fuzzy rule-based information fusion method with its application in biomedical classification X Song, B Qin, F Xiao International Journal of Fuzzy Systems 23 (2), 392-404, 2021 | 17 | 2021 |
Towards analyzing and understanding the limitations of dpo: A theoretical perspective D Feng, B Qin, C Huang, Z Zhang, W Lei arXiv preprint arXiv:2404.04626, 2024 | 16 | 2024 |
HanFei-1.0 W He, J Wen, L Zhang, H Cheng, B Qin, Y Li, F Jiang, J Chen, B Wang, ... | 11 | 2023 |
Exploring auxiliary reasoning tasks for task-oriented dialog systems with meta cooperative learning B Qin, M Yang, L Bing, Q Jiang, C Li, R Xu Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13701 …, 2021 | 9 | 2021 |
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL Generation G Qu, J Li, B Li, B Qin, N Huo, C Ma, R Cheng arXiv preprint arXiv:2405.15307, 2024 | 7 | 2024 |
SUN: Exploring intrinsic uncertainties in text-to-SQL parsers B Qin, L Wang, B Hui, B Li, X Wei, B Li, F Huang, L Si, M Yang, Y Li arXiv preprint arXiv:2209.06442, 2022 | 7 | 2022 |
Sdcup: Schema dependency-enhanced curriculum pre-training for table semantic parsing B Qin, L Wang, B Hui, R Geng, Z Cao, M Yang, J Sun, Y Li arXiv preprint arXiv:2111.09486, 2021 | 4* | 2021 |
Towards Understanding the Influence of Reward Margin on Preference Model Performance B Qin, D Feng, X Yang arXiv preprint arXiv:2404.04932, 2024 | 2 | 2024 |
Legend: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets D Feng, B Qin, C Huang, Y Huang, Z Zhang, W Lei arXiv preprint arXiv:2406.08124, 2024 | | 2024 |