| Zerogen: Efficient zero-shot learning via dataset generation J Ye*, J Gao*, Q Li, H Xu, J Feng, Z Wu, T Yu, L Kong EMNLP-2022, (* indicates co-first author), 2022 | 102 | 2022 |
| Revisiting over-smoothing in BERT from the perspective of graph H Shi*, J Gao*, H Xu, X Liang, Z Li, L Kong, S Lee, JT Kwok ICLR-2022, Spotlight, (* indicates co-first author), 2022 | 50 | 2022 |
| DetGPT: Detect What You Need via Reasoning R Pi*, J Gao*, S Diao*, R Pan, H Dong, J Zhang, L Yao, J Han, H Xu, ... EMNLP-2023, main conference, 2023 | 46* | 2023 |
| Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning J Gao*, R Pi*, LIN Yong, H Xu, J Ye, Z Wu, W ZHANG, X Liang, Z Li, ... The Eleventh International Conference on Learning Representations, Spotlight, 2023 | 41* | 2023 |
| Sparsebert: Rethinking the importance analysis in self-attention H Shi, J Gao, X Ren, H Xu, X Liang, Z Li, JTY Kwok International Conference on Machine Learning, 9547-9557, 2021 | 37 | 2021 |
| Autobert-zero: Evolving bert backbone from scratch J Gao, H Xu, H Shi, X Ren, LH Philip, X Liang, X Jiang, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10663 …, 2022 | 33 | 2022 |
| ProGen: Progressive zero-shot dataset generation via in-context feedback J Ye, J Gao, J Feng, Z Wu, T Yu, L Kong EMNLP-2022, Findings, 2022 | 29 | 2022 |
| UNISON: Unpaired cross-lingual image captioning J Gao, Y Zhou, LH Philip, S Joty, J Gu Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10654 …, 2022 | 17* | 2022 |
| A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond Y LIN*, R Pi*, W Zhang, X Xia, J Gao, X Zhou, T Liu, B Han The Eleventh International Conference on Learning Representations, 2022 | 14* | 2022 |
| G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model J Gao*, R Pi*, J Zhang, J Ye, W Zhong, Y Wang, L Hong, J Han, H Xu, Z Li, ... arXiv preprint arXiv:2312.11370, 2023 | 10* | 2023 |
| Detecting comments showing risk for suicide in YouTube J Gao, Q Cheng, PLH Yu Proceedings of the Future Technologies Conference (FTC) 2018: Volume 1, 385-400, 2019 | 10 | 2019 |
| DYNAFED: Tackling client data heterogeneity with global dynamics R Pi, W Zhang, Y Xie, J Gao, X Wang, S Kim, Q Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Perceptiongpt: Effectively fusing visual perception into llm R Pi, L Yao, J Gao, J Zhang, T Zhang CVPR-2024, 2023 | 8 | 2023 |
| Learning From Correctness Without Prompting Makes LLM Efficient Reasoner Y Yao, H Wu, Z Guo, B Zhou, J Gao, S Luo, H Hou, X Fu, L Song arXiv preprint arXiv:2403.19094, 2024 | | 2024 |
| Learning to Edit: Aligning LLMs with Knowledge Editing Y Jiang, Y Wang, C Wu, W Zhong, X Zeng, J Gao, L Li, X Jiang, L Shang, ... arXiv preprint arXiv:2402.11905, 2024 | | 2024 |
| Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models J Ye, S Gong, L Chen, L Zheng, J Gao, H Shi, C Wu, Z Li, W Bi, L Kong arXiv preprint arXiv:2402.07754, 2024 | | 2024 |
| Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios S Huang, W Zhong, J Lu, Q Zhu, J Gao, W Liu, Y Hou, X Zeng, Y Wang, ... arXiv preprint arXiv:2401.17167, 2024 | | 2024 |
Hang XuResearcher, Huawei Noah's Ark LabVerified email at huawei.com
