| Spatial-temporal large language model for traffic prediction C Liu, S Yang, Q Xu, Z Li, C Long, Z Li, R Zhao IEEE MDM 2024: The 25th IEEE International Conference on Mobile Data Management, 2024 | 24 | 2024 |
| Benchmarking the Text-to-SQL Capability of Large Language Models: A Comprehensive Evaluation B Zhang, Y Ye, G Du, X Hu, Z Li, S Yang, CH Liu, R Zhao, Z Li, H Mao https://arxiv.org/abs/2403.02951, 2024 | 7 | 2024 |
| PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency Z Li, X Wang, J Zhao, S Yang, G Du, X Hu, B Zhang, Y Ye, Z Li, R Zhao, ... arXiv preprint arXiv:2403.09732, 2024 | 6 | 2024 |
| TimeCMA: Towards LLM-Empowered Time Series Forecasting via Cross-Modality Alignment C Liu, Q Xu, H Miao, S Yang, L Zhang, C Long, Z Li, R Zhao arXiv preprint arXiv:2406.01638, 2024 | 4 | 2024 |
| Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function--with Real Applications in Traffic Domain G Sui, Z Li, Z Li, S Yang, J Ruan, H Mao, R Zhao arXiv preprint arXiv:2310.18752, 2023 | 3 | 2023 |
| SQL-to-Schema Enhances Schema Linking in Text-to-SQL S Yang, Q Su, Z Li, Z Li, H Mao, C Liu, R Zhao DEXA 2024: The 35th Database and Expert Systems Applications Conferences and …, 2024 | | 2024 |
