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Keming Lu
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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
14752023
Qwen2 Technical Report
A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ...
https://arxiv.org/abs/2407.10671, 2024
4952024
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
1532023
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
722023
# 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
64*2023
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
472020
Summarization as indirect supervision for relation extraction
K Lu, I Hsu, W Zhou, MD Ma, M Chen
EMNLP 2022, 2022
462022
Qwen2. 5-coder technical report
B Hui, J Yang, Z Cui, J Yang, D Liu, L Zhang, T Liu, J Zhang, B Yu, K Lu, ...
arXiv preprint arXiv:2409.12186, 2024
352024
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
352023
Qwen2 technical report, 2024
A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ...
URL https://arxiv. org/abs/2407.10671, 0
32
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
292024
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
272019
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
212023
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
202023
Qwen2. 5-math technical report: Toward mathematical expert model via self-improvement
A Yang, B Zhang, B Hui, B Gao, B Yu, C Li, D Liu, J Tu, J Zhou, J Lin, K Lu, ...
arXiv preprint arXiv:2409.12122, 2024
172024
Mugglemath: Assessing the impact of query and response augmentation on math reasoning
C Li, Z Yuan, H Yuan, G Dong, K Lu, J Wu, C Tan, X Wang, C Zhou
Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024
16*2024
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
162022
Pyramidkv: Dynamic kv cache compression based on pyramidal information funneling
Z Cai, Y Zhang, B Gao, Y Liu, T Liu, K Lu, W Xiong, Y Dong, B Chang, ...
arXiv preprint arXiv:2406.02069, 2024
142024
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
G Dong, K Lu, C Li, T Xia, B Yu, C Zhou, J Zhou
arXiv preprint arXiv:2406.13542, 2024
132024
Multi-hop Evidence Retrieval for Cross-document Relation Extraction
K Lu, I Hsu, W Zhou, MD Ma, M Chen
ACL2023, 2022
132022
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