| 2025 | ACL | Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. | Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang |
| 2025 | NAACL | Graph Neural Network Enhanced Retrieval for Question Answering of Large Language Models. | Zijian Li, Qingyan Guo, Jiawei Shao, Lei Song, Jiang Bian, Jun Zhang, Rui Wang |
| 2024 | ACL | Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training. | Qingyan Guo, Rui Wang, Junliang Guo, Xu Tan, Jiang Bian, Yujiu Yang |
| 2024 | ICASSP | Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks. | Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang |
| 2024 | ICLR | Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers. | Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang |
| 2024 | NAACL | LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? | Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu Sun |
| 2023 | ACL | MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction. | Zhibin Gou, Qingyan Guo, Yujiu Yang |
| 2017 | ICNC | An automatic plotting method of air temperature isoline based on rectangular grids. | Qingyan Guo, Weiran Shi, Zhixing Zheng, Xiao Wang |