Lin, Zeqi

10 publications

ICLR 2025 Self-Evolved Reward Learning for LLMs Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

NeurIPS 2024 Make Your LLM Fully Utilize the Context Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen

ICLR 2023 CodeT: Code Generation with Generated Tests Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen

ICLR 2023 Does Deep Learning Learn to Abstract? a Systematic Probing Framework Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou

IJCAI 2022 CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou

ICLR 2022 TAPEX: Table Pre-Training via Learning a Neural SQL Executor Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou

AAAI 2021 Iterative Utterance Segmentation for Neural Semantic Parsing Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang

AAAI 2021 Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

NeurIPS 2020 Compositional Generalization by Learning Analytical Expressions Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang

NeurIPS 2020 Hierarchical Poset Decoding for Compositional Generalization in Language Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang