| Connecting large language models with evolutionary algorithms yields powerful prompt optimizers Q Guo*, R Wang*, J Guo, B Li, K Song, X Tan, G Liu, J Bian, Y Yang The International Conference on Learning Representations (ICLR2024), 2023 | 89 | 2023 |
| MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction Z Gou*, Q Guo*, Y Yang ACL2023, 2023 | 26 | 2023 |
| Constructing Chinese historical literature knowledge graph based on BERT Q Guo, Y Sun, G Liu, Z Wang, Z Ji, Y Shen, X Wang Web Information Systems and Applications: 18th International Conference …, 2021 | 6 | 2021 |
| Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training Q Guo, R Wang, J Guo, X Tan, J Bian, Y Yang arXiv preprint arXiv:2403.00758, 2024 | 1 | 2024 |
| Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks Y Wang, Q Guo, X Ni, C Shi, L Liu, H Jiang, Y Yang ICASSP2024, 2023 | 1 | 2023 |
| Graph Neural Network Enhanced Retrieval for Question Answering of LLMs Z Li, Q Guo, J Shao, L Song, J Bian, J Zhang, R Wang arXiv preprint arXiv:2406.06572, 2024 | | 2024 |
| LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? Y Wang, S Ren, R Gao, L Yao, Q Guo, K An, J Bai, X Sun arXiv preprint arXiv:2404.10763, 2024 | | 2024 |
Yujiu YangSIGS,Tsinghua university在 sz.tsinghua.edu.cn 的电子邮件经过验证
