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ORCIDYe Yuan 0016
Person information
- affiliation: Peking University, School of Computer Science, Beijing, China
Other persons with the same name
- Ye Yuan (aka: Yuan Ye) — disambiguation page
- Ye Yuan 0001
![[0000-0002-0247-9866]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0247-9866")
— Beijing Institute of Technology, China (and 2 more) - Ye Yuan 0002 — Huazhong University of Science and Technology, School of Automation, Wuhan, China (and 2 more)
- Ye Yuan 0003 — Tsinghua University, Institute of Microelectronics / TNLIST, Beijing, China
- Ye Yuan 0004 — Tianjin University, College of Management and Economics, China
- Ye Yuan 0005 — Kyushu University, Graduate School of Mathematics, Fukuoka, Japan
- Ye Yuan 0006 — Beijing University of Technology, College of Information and Communication Engineering / Advanced Innovation Center for Future Internet Technology, China
- Ye Yuan 0007 — NVIDIA, Research Scientist, USA (and 1 more)
- Ye Yuan 0008 — Tsinghua University, Department of Automotive Engineering, Beijing, China
- Ye Yuan 0009 — National University of Defense Technology, State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Changsha, China
- Ye Yuan 0010 (aka: Irene Ye Yuan) — University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
- Ye Yuan 0011 — Harbin Engineering University, Harbin, China
- Ye Yuan 0012 — Texas A&M University, TX, USA
- Ye Yuan 0013 — Southwest University, Chongqing, China
- Ye Yuan 0014 — Chinese Academy of Sciences, Institute of Green and Intelligent Technology, Chongqing, China
- Ye Yuan 0015 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China (and 1 more)
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2020 – today
- 2024
[c6]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. AAAI 2024: 18860-18868- [c5]Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang:
Measuring Vision-Language STEM Skills of Neural Models. ICLR 2024 - [c4]Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang:
Measuring Social Norms of Large Language Models. NAACL-HLT (Findings) 2024: 650-699 - [i11]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. CoRR abs/2401.09192 (2024) - [i10]Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang:
Measuring Vision-Language STEM Skills of Neural Models. CoRR abs/2402.17205 (2024) - [i9]Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang:
Measuring Social Norms of Large Language Models. CoRR abs/2404.02491 (2024) - [i8]Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR abs/2407.00468 (2024) - [i7]Alan Wu, Ye Yuan, Ming Zhang:
Vision-Braille: An End-to-End Tool for Chinese Braille Image-to-Text Translation. CoRR abs/2407.06048 (2024) - [i6]Ye Yuan, Chengwu Liu, Jingyang Yuan, Gongbo Sun, Siqi Li, Ming Zhang:
A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning. CoRR abs/2408.05141 (2024) - [i5]Bo-Wen Zhang, Liangdong Wang, Ye Yuan, Jijie Li, Shuhao Gu, Mengdi Zhao, Xinya Wu, Guang Liu, Chengwei Wu, Hanyu Zhao, Li Du, Yiming Ju, Quanyue Ma, Yulong Ao, Yingli Zhao, Songhe Zhu, Zhou Cao, Dong Liang, Yonghua Lin, Ming Zhang, Shunfei Wang, Yanxin Zhou, Min Ye, Xuekai Chen, Xinyang Yu, Xiangjun Huang, Jian Yang:
AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies. CoRR abs/2408.06567 (2024) - 2023
- [c3]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. EMNLP 2023: 11594-11632 - [c2]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS 2023 - [i4]Chengwu Liu, Jianhao Shen, Huajian Xin, Zhengying Liu, Ye Yuan, Haiming Wang, Wei Ju, Chuanyang Zheng, Yichun Yin, Lin Li, Ming Zhang, Qun Liu:
FIMO: A Challenge Formal Dataset for Automated Theorem Proving. CoRR abs/2309.04295 (2023) - [i3]Jing Xiong, Jianhao Shen, Ye Yuan, Haiming Wang, Yichun Yin, Zhengying Liu, Lin Li, Zhijiang Guo, Qingxing Cao, Yinya Huang, Chuanyang Zheng, Xiaodan Liang, Ming Zhang, Qun Liu:
TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. CoRR abs/2310.10180 (2023) - [i2]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. CoRR abs/2310.10699 (2023) - 2022
- [c1]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. EMNLP (Findings) 2022: 3833-3847 - [i1]Jianhao Shen, Chenguang Wang, Ye Yuan, Jiawei Han, Heng Ji, Koushik Sen, Ming Zhang, Dawn Song:
PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion. CoRR abs/2210.13715 (2022)
Coauthor Index
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