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2020 – today
- 2025
[c3]Weiyang Guo, Jing Li, Wenya Wang, Yu Li, Daojing He, Jun Yu, Min Zhang:
MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming. ACL (1) 2025: 26424-26442- [c2]Zeang Sheng
, Weiyang Guo, Yingxia Shao, Wentao Zhang, Bin Cui:
LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification. KDD (2) 2025: 2526-2537 - [i4]Weiyang Guo, Jing Li, Wenya Wang, Yu Li, Daojing He, Jun Yu, Min Zhang:
MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming. CoRR abs/2505.17147 (2025) - [i3]Zhuo Li, Guodong Du, Weiyang Guo, Yigeng Zhou, Xiucheng Li, Wenya Wang, Fangming Liu, Yequan Wang, Deheng Ye, Min Zhang, Jing Li:
Multi-objective Large Language Model Alignment with Hierarchical Experts. CoRR abs/2505.20925 (2025) - [i2]Weiyang Guo, Zesheng Shi, Zhuo Li, Yequan Wang, Xuebo Liu, Wenya Wang, Fangming Liu, Min Zhang, Jing Li:
Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning. CoRR abs/2506.00782 (2025) - [i1]Ning Liao, Xiaoxing Wang, Zehao Lin, Weiyang Guo, Feng Hong, Shixiang Song, Geng Yu, Zihua Zhao, Sitao Xie, Longxuan Wei, Xiangqi Jin, Xiaohan Qin, Jiale Ma, Kai Chen, Jiangchao Yao, Zhouhan Lin, Junchi Yan, Zhiyu Li, Feiyu Xiong, Yanfeng Wang, Linfeng Zhang:
Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. CoRR abs/2507.18671 (2025) - 2024
- [c1]Weiyang Guo, Yue Cui, Kai Zheng:
IntFair:Graph Neural Networks for Fair Recommendations with Interest Awareness. DASFAA (3) 2024: 3-18
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