Ke, Pei

7 publications

AAAI 2025 CharacterBench: Benchmarking Character Customization of Large Language Models Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang

NeurIPS 2024 Benchmarking Complex Instruction-Following with Multiple Constraints Composition Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang

ICLR 2024 Language Model Decoding as Direct Metrics Optimization Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang

NeurIPS 2024 Perception of Knowledge Boundary for Large Language Models Through Semi-Open-Ended Question Answering Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li

ICML 2024 Towards Efficient Exact Optimization of Language Model Alignment Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

ICLR 2023 Tailoring Language Generation Models Under Total Variation Distance Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang

IJCAI 2022 Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang