Chen, Kezhen

10 publications

NeurIPS 2024 RedPajama: An Open Dataset for Training Large Language Models Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang

AAAI 2024 Tackling Vision Language Tasks Through Learning Inner Monologues Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang

NeurIPSW 2023 Insight Miner: A Time Series Analysis Dataset for Cross-Domain Alignment with Natural Language Yunkai Zhang, Yawen Zhang, Ming Zheng, Kezhen Chen, Chongyang Gao, Ruian Ge, Siyuan Teng, Amine Jelloul, Jinmeng Rao, Xiaoyuan Guo, Chiang-Wei Fang, Zeyu Zheng, Jie Yang

NeurIPSW 2023 LOWA: Localize Objects in the Wild with Attributes Xiaoyuan Guo, Kezhen Chen, Jinmeng Rao, Yawen Zhang, Baochen Sun, Jie Yang

NeurIPSW 2023 Learning Inner Monologue and Its Utilization in Vision-Language Challenges Diji Yang, Kezhen Chen, Jinmeng Rao, Xiaoyuan Guo, Yawen Zhang, Jie Yang, Yi Zhang

IJCAI 2023 Sketch Recognition via Part-Based Hierarchical Analogical Learning Kezhen Chen, Kenneth D. Forbus, Balaji Vasan Srinivasan, Niyati Chhaya, Madeline Usher

AAAI 2021 Visual Relation Detection Using Hybrid Analogical Learning Kezhen Chen, Kenneth D. Forbus

ICML 2020 Mapping Natural-Language Problems to Formal-Language Solutions Using Structured Neural Representations Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Ken Forbus, Jianfeng Gao

AAAI 2019 Human-like Sketch Object Recognition via Analogical Learning Kezhen Chen, Irina Rabkina, Matthew D. McLure, Kenneth D. Forbus

AAAI 2018 Action Recognition from Skeleton Data via Analogical Generalization over Qualitative Representations Kezhen Chen, Kenneth D. Forbus