cziems [at] stanford [dot] edu
My work spans empirical Natural Language Processing and Computational Social Science, and I’m particularly excited about three research thrusts: (1) dialect robust NLP [Multi-VALUE (ACL 2023a); TADA (ACL 2023b)], (2) social NLP [NormBank (ACL 2023c); MIC (ACL 2022b); Positive Reframing (ACL 2022c)], and (3) safety in online communities [Racism is a Virus (ASONAM 2021); Latent Hate (EMNLP 2021)].
Previously, I finished my M.S. in Computer Science from Georgia Tech and my B.S. with a double major in Computer Science and Mathematics from Emory University . I was fortunate to spend some of my summers interning at Meta AI Applied Research and USC ISI .
As of 2021, I am supported by the NSF GRFP.
I’d love to hear from you! Please reach out
Can Large Language Models Transform Computational Social Science?Computational linguistics, Dec 2023CL
Multi-VALUE: A Framework for Cross-Dialectal English NLPIn Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023ACL
NormBank: A Knowledge Bank of Situational Social NormsIn Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023ACL
|Oct 26, 2023||Our LLMs for CSS work will appear in the Q4 publication of the Computational Linguistics Journal this year (2023)!|
|Oct 9, 2023||Gave a (virtual) talk on Multi-VALUE to Amazon AWS Fairness. Thanks for inviting me, Mathew!|
|Oct 7, 2023||Two papers have been accepted to EMNLP 2023!|
|Jun 19, 2023||Gave a (virtual) talk on our LLMs for CSS work at the Summer Institutes in Computational Social Science (SICSS) in Rome. Thanks for hosting me, Laura!|
|May 2, 2023||Four papers have been accepted to ACL 2023! See you in Toronto 🍁|