Hongyin Luo

Postdoctoral Associate at MIT CSAIL.



32 Vassar St.,

Cambridge, MA 02139

Hongyin is a postdoctoral associate at MIT CSAIL, working with Dr. Jim Glass in the spoken language systems (SLS) group. He completed his Ph.D. at MIT EECS in May 2022, working on self-training for natural language processing.

He has worked on different natural language processing techniques, mostly semantic representation models that help computers understand and generate natural languages better. He has been working on interpretable word representation learning, deep neural networks, co-reference resolution, and other NLP applications. His recent research interest includes efficient and robust language modeling techniques and computational linguistics, especially pragmatics, contextual entailment, and their applications in trustworthy language models.

Email: hyluo [at] mit [dot] edu


May 24, 2023 We release the preprint of SAIL: Search Augmented Instruction Learning!
May 1, 2023 Our paper Entailment as Robust Self-Learners is accepted by ACL 2023!
Apr 13, 2023 Check out some results of our UniLC-based twitter-checking experiments!
Apr 13, 2023 Released the Open Language Safety Research (OpenLSR) website and twitter checking bot (twitter account and blog post).
Apr 10, 2023 Preprint “Interpretable Unified Language Checking” is out. [paper] and [code].
Mar 3, 2023 Our “Logic against bias” paper accepted by EACL 2023. Covered by MIT News, TechXplore, Nauka TV, and Freethink.
Oct 20, 2022 Gave a talk on entailment self-training at the MIT EI Seminar
Oct 5, 2022 Hosted the Efficient & Robust language modeling seminar
Jul 14, 2022 Presented our work on self-training QA at NAACL 2022!
Apr 29, 2022 Ph.D. thesis defended!

selected publications

  1. interpretable Unified Language Checking
    Tianhua Zhang*, Hongyin Luo*, Yung-Sung Chuang, and 7 more authors
    arXiv preprint arXiv:2304.03728 2023
  2. Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning
    Hongyin Luo, and James Glass
    arXiv preprint arXiv:2303.05670 2023
  3. Cooperative Self-training of Machine Reading Comprehension
    Hongyin Luo, Shang-Wen Li, Mingye Gao, and 2 more authors
    In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2022
  4. DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
    Yung-Sung Chuang, Rumen Dangovski, Hongyin Luo, and 7 more authors
    arXiv preprint arXiv:2204.10298 2022