* denotes equal contribution


  1. ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
    Kuan-Hao HuangVarun Iyer, I-Hung Hsu, Anoop KumarKai-Wei Chang, and Aram Galstyan
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023


  1. Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations
    In Findings of the Association for Computational Linguistics: EMNLP 2022 (EMNLP Findings), 2022