Weiting Tan

Center for Language and Speech Processing, Johns Hopkins University

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Hi👋, I’m Weiting Tan! I’m a 2nd year PhD student in Computer Science at Johns Hopkins University, advised by Prof. Philipp Koehn. Previously, I completed my Undergraduate and Master’s degree in Computer Science at JHU, Go Hop!

My research interest lies at machine learning and natural language processing. In particular, I am interested in efficient and scalable representation learning methods for cross-modal applications.

If you have anything to share with me, please feel free to contact me through my email: wtan12 at jhu.edu

news

Sep 25, 2024 DiffNorm accepted to NeurIPS 2024! Please come to our poster, see you in Vancouver!
Aug 02, 2024 I will work on Multi-modal LLMs as a part-time student researcher at Meta in Fall 2024 & Spring 2025.
Feb 20, 2024 I will be interning at Meta AI (FAIR) in summer 2024, working on Speech Large Language Model. Looking forward to the new project!
Apr 07, 2023 I will be staying at Johns Hopkins University for my PhD, working with Prof. Philipp Koehn!

selected publications

  1. preprint
    SSR: Alignment-Aware Modality Connector for Speech Language Models
    Weiting Tan, Hirofumi Inaguma, Ning Dong, and 2 more authors
    2024
  2. NeurIPS
    DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation
    Weiting Tan, Jingyu Zhang, Lingfeng Shen, and 2 more authors
    2024
  3. preprint
    Streaming Sequence Transduction through Dynamic Compression
    Weiting Tan, Yunmo Chen, Tongfei Chen, and 5 more authors
    2024
  4. ICML
    Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation
    Haoran Xu, Amr Sharaf, Yunmo Chen, and 5 more authors
    In Proceedings of the 41st International Conference on Machine Learning, 21–27 jul 2024
  5. NAACL
    Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles
    Weiting Tan, Haoran Xu, Lingfeng Shen, and 5 more authors
    In Findings of the Association for Computational Linguistics: NAACL 2024, Jun 2024
  6. ACL
    The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts
    Lingfeng Shen, Weiting Tan, Sihao Chen, and 6 more authors
    In Findings of the Association for Computational Linguistics ACL 2024, Aug 2024
  7. EACL
    Multilingual Representation Distillation with Contrastive Learning
    Weiting Tan, Kevin Heffernan, Holger Schwenk, and 1 more author
    In Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, May 2023
  8. EMNLP
    Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency
    Lingfeng Shen, Weiting Tan, Boyuan Zheng, and 1 more author
    In Findings of the Association for Computational Linguistics: EMNLP 2023, Dec 2023
  9. EMNLP
    Condensing Multilingual Knowledge with Lightweight Language-Specific Modules
    Haoran Xu, Weiting Tan, Shuyue Li, and 4 more authors
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023