| 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, ... arXiv preprint arXiv:2305.03111, 2023 | 207 | 2023 |
| 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, ... arXiv preprint arXiv:2312.10302, 2023 | 25* | 2023 |
| User-specific adaptive fine-tuning for cross-domain recommendations L Chen, F Yuan, J Yang, X He, C Li, M Yang IEEE Transactions on Knowledge and Data Engineering 35 (3), 3239-3252, 2021 | 24 | 2021 |
| A user-adaptive layer selection framework for very deep sequential recommender models L Chen, F Yuan, J Yang, X Ao, C Li, M Yang Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 3984-3991, 2021 | 9 | 2021 |
| Iterative Forward Tuning Boosts In-context Learning in Language Models J Yang, B Hui, M Yang, B Li, F Huang, Y Li arXiv preprint arXiv:2305.13016, 2023 | 8 | 2023 |
| Qwen2. 5-coder technical report B Hui, J Yang, Z Cui, J Yang, D Liu, L Zhang, T Liu, J Zhang, B Yu, ... arXiv preprint arXiv:2409.12186, 2024 | 6 | 2024 |
| Marathon: A race through the realm of long context with large language models L Zhang, Y Li, Z Liu, J Liu, M Yang arXiv preprint arXiv:2312.09542, 2023 | 5 | 2023 |
| Scene-adaptive knowledge distillation for sequential recommendation via differentiable architecture search L Chen, F Yuan, J Yang, M Yang, C Li arXiv preprint arXiv:2107.07173, 2021 | 5 | 2021 |
| Synthesizing text-to-sql data from weak and strong llms J Yang, B Hui, M Yang, J Yang, J Lin, C Zhou arXiv preprint arXiv:2408.03256, 2024 | 3 | 2024 |
| Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs L Zhang, Y Li, J Li, X Xia, J Yang, R Luo, M Wang, L Chen, J Liu, M Yang arXiv preprint arXiv:2406.18294, 2024 | 1 | 2024 |
Binyuan HuiQwen Team, Alibaba GroupVerified email at alibaba-inc.com
