| 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 | 156 | 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 | 86* | 2023 |
| 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, 2024 | 66* | 2024 |
| 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 | 66* | 2022 |
| 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, ... ICLR-2023, Spotlight, 2023 | 65* | 2023 |
| 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 | 54 | 2022 |
| 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 | 50 | 2021 |
| Autobert-zero: Evolving bert backbone from scratch J Gao, H Xu, H Shi, X Ren, LH Philip, X Liang, X Jiang, Z Li AAAI-2022, 2022 | 40 | 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 ICLR-2023, Spotlight, 2022 | 24* | 2022 |
| 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 | 22 | 2023 |
| UNISON: Unpaired cross-lingual image captioning J Gao, Y Zhou, LH Philip, S Joty, J Gu AAAI-2022, Oral, 2022 | 20* | 2022 |
| Perceptiongpt: Effectively fusing visual perception into LLM R Pi, L Yao, J Gao, J Zhang, T Zhang CVPR-2024, 2023 | 16 | 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 | 12 | 2019 |
| 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, ... ACL-2024, 2024 | 11 | 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, ... ACL 2024, 2024 | 7 | 2024 |
| Mixture of insighTful Experts (MoTE): The Synergy of Thought Chains and Expert Mixtures in Self-Alignment Z Liu, Y Gou, K Chen, L Hong, J Gao, F Mi, Y Zhang, Z Li, X Jiang, Q Liu, ... arXiv preprint arXiv:2405.00557, 2024 | 6 | 2024 |
| 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 | 6 | 2024 |
| Jailbreaking as a Reward Misspecification Problem Z Xie, J Gao (#), L Li, Z Li, Q Liu, L Kong (#) | 1 | 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, X Jiang, Z Li, W Bi, ... arXiv preprint arXiv:2402.07754, 2024 | 1 | 2024 |
| Forewarned is Forearmed: Leveraging LLMs for Data Synthesis through Failure-Inducing Exploration Q Li, J Gao, S Wang, R Pi, X Zhao, C Wu, X Jiang, Z Li, L Kong arXiv preprint arXiv:2410.16736, 2024 | | 2024 |
