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is a group of researchers who study, analyze, and build various aspects of AI (including social) systems. Our work spans several areas - Applied Machine Learning, Responsible and Safe AI, Natural Language Processing, and Social Network Analysis. By understanding and measuring AI systems, we aim to develop solutions that contribute to the greater good of society.

Latest News

Selected Publications

  1. ICML
    Great Models Think Alike and this Undermines AI Oversight
    Shashwat Goel, Joschka Struber, Ilze Amanda Auzina, Karuna K Chandra, Ponnurangam Kumaraguru, Douwe Kiela, Ameya Prabhu, Matthias Bethge, and Jonas Geiping
    Forty Second International Conference on Machine Learning, 2025
  2. ICML
    A Cognac shot to forget bad memories: Corrective Unlearning in GNNs
    Varshita Kolipaka, Akshit Sinha, Debangan Mishra, Sumit Kumar, Arvindh Arun, Shashwat Goel, and Ponnurangam Kumaraguru
    Forty-Second International Conference on Machine Learning, 2025
  3. EASE
    Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling
    Ishan Kavathekar, Raghav Donakanti, Ponnurangam Kumaraguru, and Karthik Vaidhyanathan
    International Conference on Evaluation and Assessment in Software Engineering (EASE), 2025
  4. NeurIPS
    Random Representations Outperform Online Continually Learned Representations
    Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip Torr, Ozan Sener, and Puneet K. Dokania
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Joining Our Lab

Thank you for your interest in joining our team! We are always looking for talented and motivated individuals to join our team. If you are interested in working with us, please apply here.