Swabha Swayamdipta

Gabilan Assitant Professor • USC Viterbi CSUSC NLP

I am an Assistant Professor of Computer Science in the USC Viterbi School of Engineering, where I lead the DILL Lab 🌿. My research interests broadly span Natural Language Processing and Machine Learning, where I study the estimation of dataset quality, the (semi-)automatic collection of impactful data, as well as evaluating how human biases affect dataset construction and model decisions.

Previously, I was a postdoctoral investigator at the Allen Institute for AI, where I worked with Yejin Choi. I obtained my PhD from Carnegie Mellon University 🌉, where I was advised by Noah Smith and Chris Dyer, during most of which I was a visiting student at UW 🌲. I was a Masters student at Columbia University 🗽, and an undergrad at NIT Calicut 🥥.


dill lab 🌿


I will be teaching CSCI 499: LMs in NLP in Fall 2023.


news

May 26, 2023 Made an appearance on ABC7 Live where I talked about the impact of AI.
May 9, 2023 New preprint on NeuroComparatives now available!
May 2, 2023 Three papers accepted to ACL 2023: REV and I2D2 at the main conference and COBRA to Findings.
Apr 27, 2023 New Preprint on Ambiguity in natural language and how LLMs handle it: AMBIENT.
Apr 5, 2023 Got invited as a speaker at the USC Sidney Harmon Academy for Polymathic Studies for a discussion with Kate Crawford on AImaginings, a discussion on AI’s potential to memorize and imagine.

Also see older news 🕰️


selected publications

Also see all publications.

  1. arXiv
    Alisa Liu, Zhaofeng Wu, Julian Michael, Alane Suhr, Peter West, Alexander Koller, Swabha Swayamdipta, Noah A. Smith, and Yejin Choi
    2023
  2. ACL
    Xuhui Zhou, Hao Zhu, Akhila Yerukola, Thomas Davidson, Jena D. Hwang, Swabha Swayamdipta, and Maarten Sap
    In Findings of ACL (To Appear) 2023
  3. ACL
    Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, and Swabha Swayamdipta
    In Proc. of ACL (To Appear) 2023
  4. EMNLP
    Phillip Howard, Gadi Singer, Vasudev Lal, Yejin Choi, and Swabha Swayamdipta
    In Findings of EMNLP 2022
  5. EMNLP
    Alisa Liu, Swabha Swayamdipta, Noah A. Smith, and Yejin Choi
    In Findings of EMNLP 2022
  6. NAACL
    Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark Riedl, and Yejin Choi
    In Proc. of NAACL 2022
  7. NAACL
    Maarten Sap, Swabha Swayamdipta, Laura Vianna, Xuhui Zhou, Yejin Choi, and Noah A. Smith
    In Proc. of NAACL 2022
  8. ICML
    Kawin Ethayarajh, Yejin Choi, and Swabha Swayamdipta
    In Proc. of ICML 2022
  9. NeurIPS
    Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Wellecks, Yejin Choi, and Zaid Harchaoui
    In Proc. of NeurIPS 2021
  10. ACL
    Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith, and Yejin Choi
    In Proc. of ACL 2021
  11. EACL
    Xuhui Zhou, Maarten Sap, Swabha Swayamdipta, Noah A. Smith, and Yejin Choi
    In Proc. of EACL 2021
  12. EMNLP
    Swabha Swayamdipta, Roy Schwartz, Nicholas Lourie, Yizhong Wang, Hannaneh Hajishirzi, Noah A. Smith, and Yejin Choi
    In Proc. of EMNLP 2020
  13. ACL
    Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith
    In Proc. of ACL 2020
  14. ICML
    Ronan LeBras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, and Yejin Choi
    In Proc. of ICML 2020