Krithika Ramesh
š³ļøāš (she/her)

Hey! Iām Krithika, a Ph.D. student in Computer Science at the Johns Hopkins Centre for Language and Speech Processing where Iām advised by Dr. Anjalie Field. My research focuses on privacy and memorization in language models and my work has primarily been centered around elements that are essential for building trustworthy systems.
I was previously a visiting student at IISc, where I worked with Dr. Danish Pruthi. Prior to beginning my Ph.D., I worked as a research intern at Microsoft Research India with Dr. Sunayana Sitaram and with the EzPC team. I have also been fortunate to have worked with Dr. Sumeet Kumar and Dr. Ashique KhudaBukhsh.
Iām always open to discussion, so if you have any queries related to anything, or if thereās any way I could help you, feel free to drop me a mail or contact me via Twitter!
news
Mar 31, 2025 | We released SynthTextEval, a framework for generating and evaluating synthetic data for high-stakes domains. |
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Sep 20, 2024 | Our paper Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains was accepted to the Findings of EMNLP 2024! |
May 2, 2023 | Our paper A Comparative Study of Model Compression Techniques on Fairness in Language Models was accepted to ACL 2023! |
Apr 15, 2023 | Iāll be starting my Ph.D. at Johns Hopkins CLSP this fall. |
Jan 21, 2023 | Our paper Fairness in Language Models Beyond English: Gaps and Challenges was accepted to the Findings of EACL 2023! |
selected publications
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SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes DomainsIn , Mar 2025
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Evaluating Differentially Private Synthetic Data Generation in High-Stakes DomainsIn Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (Findings), Nov 2024
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Fairness in Language Models Beyond English: Gaps and ChallengesProceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (Findings), May 2023