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2020 – today
- 2024
[c8]Jiaheng Liu, ZhiqiBai ZhiqiBai, Yuanxing Zhang, Chenchen Zhang, YuangZh YuangZh, Ge Zhang, JiakaiWang JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng:
E2-LLM: Efficient and Extreme Length Extension of Large Language Models. ACL (Findings) 2024: 4243-4253- [c7]Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, ZhiqiBai ZhiqiBai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. ACL (Findings) 2024: 6815-6839 - [c6]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. ACL (1) 2024: 7421-7454 - [i9]Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng:
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models. CoRR abs/2401.06951 (2024) - [i8]Yanan Wu, Jie Liu, Xingyuan Bu
, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng:
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models. CoRR abs/2402.14660 (2024) - [i7]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. CoRR abs/2402.14762 (2024) - [i6]Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng:
R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. CoRR abs/2406.01359 (2024) - [i5]Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. CoRR abs/2406.01375 (2024) - [i4]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. CoRR abs/2406.14550 (2024) - [i3]Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
DDK: Distilling Domain Knowledge for Efficient Large Language Models. CoRR abs/2407.16154 (2024) - 2023
- [j2]Chenjin Xu, Wei Wang, Wenbo Su, Mingrong Duan, Minqiang Hu:
Sensitivity Analysis of Free-Standing Columnar Magnetic Field Energy Harvester for Powering Wireless Monitoring Sensors. IEEE Trans. Circuits Syst. I Regul. Pap. 70(11): 4650-4659 (2023) - [j1]Chenjin Xu, Wei Wang, Wenbo Su, Mingrong Duan, Minqiang Hu:
Antisaturation and Power Decoupling Control of Multiwinding Energy Harvester Based on Magnetomotive Force Compensation. IEEE Trans. Ind. Informatics 19(10): 10555-10563 (2023) - 2022
- [c5]Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng:
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. NeurIPS 2022 - [i2]Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng:
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. CoRR abs/2205.11048 (2022)
2010 – 2019
- 2018
- [c4]Lin Guo, Hui Ye, Wenbo Su, Henhuan Liu, Kai Sun, Hang Xiang:
Visualizing and Understanding Deep Neural Networks in CTR Prediction. eCOM@SIGIR 2018 - [i1]Lin Guo, Hui Ye, Wenbo Su, Henhuan Liu, Kai Sun, Hang Xiang:
Visualizing and Understanding Deep Neural Networks in CTR Prediction. CoRR abs/1806.08541 (2018) - 2015
- [c3]Wenbo Su, Qu Liu, Chuang Lin, Sherman X. Shen:
Modeling and Analysis of Availability in Multi-Tenant SaaS. ICCCN 2015: 1-8 - [c2]Wenbo Su, Jie Hu, Chuang Lin, Sherman X. Shen:
SLA-Aware Tenant Placement and Dynamic Resource Provision in SaaS. ICWS 2015: 615-622 - 2014
- [c1]Wenbo Su, Chuang Lin, Kun Meng, Qu Liu:
Modeling and Analysis of Availability for SaaS Multi-tenant Architecture. SOSE 2014: 365-369
Coauthor Index
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