| Qwen Technical Report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... https://arxiv.org/abs/2309.16609, 2023 | 310 | 2023 |
| Scaling relationship on learning mathematical reasoning with large language models Z Yuan, H Yuan, C Li, G Dong, K Lu, C Tan, C Zhou, J Zhou https://arxiv.org/abs/2308.01825, 2023 | 110 | 2023 |
| Summarization as indirect supervision for relation extraction K Lu, I Hsu, W Zhou, MD Ma, M Chen EMNLP 2022, 2022 | 38 | 2022 |
| Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches Y Tong, K Lu, Y Yang, J Li, Y Lin, D Wu, A Yang, Y Li, S Yu, J Qian BMC medical informatics and decision making 20, 1-9, 2020 | 36 | 2020 |
| How abilities in large language models are affected by supervised fine-tuning data composition G Dong, H Yuan, K Lu, C Li, M Xue, D Liu, W Wang, Z Yuan, C Zhou, ... arXiv preprint arXiv:2310.05492, 2023 | 24 | 2023 |
| Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network D Hu, K Lu, Y Yang 2019 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2019 | 24 | 2019 |
| Multimodal learning on graphs for disease relation extraction Y Lin, K Lu, S Yu, T Cai, M Zitnik Journal of Biomedical Informatics 143, 104415, 2023 | 16 | 2023 |
| # InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models K Lu, H Yuan, Z Yuan, R Lin, J Lin, C Tan, C Zhou, J Zhou The Twelfth International Conference on Learning Representations, 2023 | 12* | 2023 |
| Bios: An algorithmically generated biomedical knowledge graph S Yu, Z Yuan, J Xia, S Luo, H Ying, S Zeng, J Ren, H Yuan, Z Zhao, Y Lin, ... arXiv preprint arXiv:2203.09975, 2022 | 12 | 2022 |
| Multi-hop Evidence Retrieval for Cross-document Relation Extraction K Lu, I Hsu, W Zhou, MD Ma, M Chen ACL2023, 2022 | 8 | 2022 |
| Self-evolved diverse data sampling for efficient instruction tuning S Wu, K Lu, B Xu, J Lin, Q Su, C Zhou arXiv preprint arXiv:2311.08182, 2023 | 6 | 2023 |
| Query and response augmentation cannot help out-of-domain math reasoning generalization C Li, Z Yuan, G Dong, K Lu, J Wu, C Tan, X Wang, C Zhou arXiv preprint arXiv:2310.05506, 2023 | 6 | 2023 |
| Routing to the expert: Efficient reward-guided ensemble of large language models K Lu, H Yuan, R Lin, J Lin, Z Yuan, C Zhou, J Zhou arXiv preprint arXiv:2311.08692, 2023 | 5 | 2023 |
| High-throughput relation extraction algorithm development associating knowledge articles and electronic health records Y Lin, K Lu, Y Chen, C Hong, S Yu arXiv preprint arXiv:2009.03506, 2020 | 5 | 2020 |
| Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment K Lu, B Yu, C Zhou, J Zhou arXiv preprint arXiv:2401.12474, 2024 | 4 | 2024 |
| PIVOINE: Instruction Tuning for Open-world Entity Profiling K Lu, X Pan, K Song, H Zhang, D Yu, J Chen Findings of the Association for Computational Linguistics: EMNLP 2023, 15108 …, 2023 | 4* | 2023 |
| Speculative contrastive decoding H Yuan, K Lu, F Huang, Z Yuan, C Zhou arXiv preprint arXiv:2311.08981, 2023 | 4 | 2023 |
| Long-distance disorder-disorder relation extraction with bootstrapped noisy data Y Lin, Y Li, K Lu, C Ma, P Zhao, D Gao, Z Fan, Z Cheng, Z Wang, S Yu Journal of Biomedical Informatics 109, 103529, 2020 | 4 | 2020 |
| Building a trustworthy AI differential diagnosis application for Crohn’s disease and intestinal tuberculosis K Lu, Y Tong, S Yu, Y Lin, Y Yang, H Xu, Y Li, S Yu BMC Medical Informatics and Decision Making 23 (1), 160, 2023 | 2 | 2023 |
| Multi‐task learning for simultaneous retrievals of passive microwave precipitation estimates and rain/no‐rain classification T Bannai, H Xu, N Utsumi, E Koo, K Lu, H Kim Geophysical Research Letters 50 (7), e2022GL102283, 2023 | 2 | 2023 |
Zheng YuanTsinghua Ph.DVerified email at mails.tsinghua.edu.cn
