Ye, Jiacheng

10 publications

ICLR 2025 Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong
ICLR 2025 G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong
ICLR 2025 Implicit Search via Discrete Diffusion: A Study on Chess Jiacheng Ye, Zhenyu Wu, Jiahui Gao, Zhiyong Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong
ICLR 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
NeurIPS 2024 Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong
ICML 2023 Compositional Exemplars for In-Context Learning Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong
ICLR 2023 Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Jiahui Gao, Renjie Pi, Lin Yong, Hang Xu, Jiacheng Ye, Zhiyong Wu, Weizhong Zhang, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
NeurIPS 2021 A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning Nathaniel Lahn, Sharath Raghvendra, Jiacheng Ye
AAAI 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features Tao Gui, Lizhi Qing, Qi Zhang, Jiacheng Ye, Hang Yan, Zichu Fei, Xuanjing Huang
IJCAI 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang