1. MEGA: Multilingual Evaluation of Generative AI
    Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Maxamed Axmed, Kalika Bali, and Sunayana Sitaram
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023
  2. A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
    Krithika Ramesh, Arnav Chavan*, Shrey Pandit*, and Sunayana Sitaram
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023
  3. End-to-end Privacy Preserving Training and Inference for Air Pollution Forecasting with Data from Rival Fleets
    Gauri Gupta, Krithika Ramesh, Anwesh Bhattacharya, Divya Gupta, Rahul Sharma, Nishanth Chandran, and Rijurekha Sen
    In Privacy Enhancing technologies Symposium (PETS) 2023, Jul 2023
  4. Fairness in Language Models Beyond English: Gaps and Challenges
    Krithika Ramesh, Sunayana Sitaram, and Monojit Choudhury
    Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (Findings), May 2023


  1. Revisiting Queer Minorities in Lexicons
    Krithika Ramesh, Sumeet Kumar, and Ashiqur Khudabukhsh
    In Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH), Jul 2022
  2. ‘Beach’ to ‘Bitch’: Inadvertent Unsafe Transcription of Kids’ Content on YouTube
    Krithika Ramesh, Ashiqur R. KhudaBukhsh, and Sumeet Kumar
    Proceedings of the AAAI Conference on Artificial Intelligence, AI for Social Impact Track, Jun 2022


  1. Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
    Rakshit Naidu*, Harshita Diddee*, Ajinkya Mulay*, Aleti Vardhan*, Krithika Ramesh*, and Ahmed S. Zamzam
    Socially Responsible Machine Learning Workshop, ICML, 2021, Jun 2021
  2. Evaluating Gender Bias in Hindi-English Machine Translation
    Gauri Gupta*, Krithika Ramesh*, and Sanjay Singh
    In Proceedings of the 3rd Workshop on Gender Bias in Natural Language Processing, Aug 2021