• Assistant Professor, Computer Science & Engineering
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Kuan-Hao Haung

Educational Background

  • Ph.D., Computer Science, University of California, Los Angeles – 2023
  • M.S., Computer Science and Information Engineering, National Taiwan University – 2016
  • B.S., Computer Science and Information Engineering, National Taiwan University – 2014

Research Interests

    • Natural language processing
    • Large language models
    • Multimodal learning
    • Machine learning

Awards & Honors

  • Area Chair Award, Association for Computational Linguistics (ACL) – 2023

Selected Publications

  • Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji. TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction. In Findings of the Association for Computational Linguistics: ACL (ACL-Findings), 2024
  • Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan. ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023
  • I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng. DEGREE: A Data-Efficient Generation-Based Event Extraction Model. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022
  • Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang. Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
  • Kuan-Hao Huang, Kai-Wei Chang. Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
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