| Deep graph library: Towards efficient and scalable deep learning on graphs MY Wang ICLR workshop on representation learning on graphs and manifolds, 2019 | 852 | 2019 |
| Bert-attack: Adversarial attack against bert using bert L Li, R Ma, Q Guo, X Xue, X Qiu arXiv preprint arXiv:2004.09984, 2020 | 722 | 2020 |
| Star-transformer Q Guo, X Qiu, P Liu, Y Shao, X Xue, Z Zhang arXiv preprint arXiv:1902.09113, 2019 | 332 | 2019 |
| A unified generative framework for various NER subtasks H Yan, T Gui, J Dai, Q Guo, Z Zhang, X Qiu arXiv preprint arXiv:2106.01223, 2021 | 310 | 2021 |
| Internlm2 technical report Z Cai, M Cao, H Chen, K Chen, K Chen, X Chen, X Chen, Z Chen, Z Chen, ... arXiv preprint arXiv:2403.17297, 2024 | 218 | 2024 |
| Colake: Contextualized language and knowledge embedding T Sun, Y Shao, X Qiu, Q Guo, Y Hu, X Huang, Z Zhang arXiv preprint arXiv:2010.00309, 2020 | 206 | 2020 |
| Do Large Language Models Know What They Don't Know? Z Yin, Q Sun, Q Guo, J Wu, X Qiu, X Huang arXiv preprint arXiv:2305.18153, 2023 | 160 | 2023 |
| Full parameter fine-tuning for large language models with limited resources K Lv, Y Yang, T Liu, Q Gao, Q Guo, X Qiu arXiv preprint arXiv:2306.09782, 2023 | 105 | 2023 |
| Multi-scale self-attention for text classification Q Guo, X Qiu, P Liu, X Xue, Z Zhang Proceedings of the AAAI conference on artificial intelligence 34 (05), 7847-7854, 2020 | 92 | 2020 |
| Bp-transformer: Modelling long-range context via binary partitioning Z Ye, Q Guo, Q Gan, X Qiu, Z Zhang arXiv preprint arXiv:1911.04070, 2019 | 84 | 2019 |
| Cyclegt: Unsupervised graph-to-text and text-to-graph generation via cycle training Q Guo, Z Jin, X Qiu, W Zhang, D Wipf, Z Zhang arXiv preprint arXiv:2006.04702, 2020 | 70 | 2020 |
| Internlm-xcomposer-2.5: A versatile large vision language model supporting long-contextual input and output P Zhang, X Dong, Y Zang, Y Cao, R Qian, L Chen, Q Guo, H Duan, ... arXiv preprint arXiv:2407.03320, 2024 | 68 | 2024 |
| First step toward model-free, anonymous object tracking with recurrent neural networks Q Gan, Q Guo, Z Zhang, K Cho arXiv preprint arXiv:1511.06425, 2015 | 67 | 2015 |
| GenWiki: A dataset of 1.3 million content-sharing text and graphs for unsupervised graph-to-text generation Z Jin, Q Guo, X Qiu, Z Zhang Proceedings of the 28th International Conference on Computational …, 2020 | 49 | 2020 |
| Exchange-of-thought: Enhancing large language model capabilities through cross-model communication Z Yin, Q Sun, C Chang, Q Guo, J Dai, X Huang, X Qiu arXiv preprint arXiv:2312.01823, 2023 | 43 | 2023 |
| Deep graph library: towards efficient and scalable deep learning on graphs. CoRR abs/1909.01315 (2019) M Wang, L Yu, QG Da Zheng, Y Gai, Z Ye, M Li, J Zhou, Q Huang, C Ma, ... arXiv preprint arXiv:1909.01315, 2019 | 35 | 2019 |
| Low-rank and locality constrained self-attention for sequence modeling Q Guo, X Qiu, X Xue, Z Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019 | 34 | 2019 |
| Enhancing uncertainty-based hallucination detection with stronger focus T Zhang, L Qiu, Q Guo, C Deng, Y Zhang, Z Zhang, C Zhou, X Wang, L Fu arXiv preprint arXiv:2311.13230, 2023 | 33 | 2023 |
| Syntax-guided text generation via graph neural network Q Guo, X Qiu, X Xue, Z Zhang Science China Information Sciences 64 (5), 152102, 2021 | 33 | 2021 |
| 𝒫2: A Plan-and-Pretrain Approach for Knowledge Graph-to-Text Generation Q Guo, Z Jin, N Dai, X Qiu, X Xue, D Wipf, Z Zhang Proceedings of the 3rd International Workshop on Natural Language Generation …, 2020 | 30 | 2020 |
Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityDirección de correo verificada de fudan.edu.cn
