Veeraraju Elluru

I graduated from the Indian Institute of Technology Jodhpur, majoring in Computer Science. I'm extremely grateful to my advisors, Dr. Mayank Vatsa, Dr. Richa Singh, and Dr. Shivang Agarwal, at the Image Analytics and Biometrics Lab. I love math and AI research, with particular interests in long-term AI safety and Mechanistic Interpretability. I lead the technical research wing at Safety and Alignment Research (SAAR-India).

Throughout my undergraduate studies, I've actively worked on side-quests where AI research can help significantly contribute. This has given me the privilege to explore projects at some really cool places:
  • Thoughtworks AI Labs (TAILS), under the mentorship of Shayan Mohanty and team, on Fine-grained Incompleteness Evaluation of Summaries from Language Models.
  • Dr. Tiago Bresolin, at the Center for Digital Agriculture (UIUC), on Foundation Models for Livestock Images.
  • Dr. Deepak Mishra at IIT Jodhpur, on Deep Learning-based particle physics simulations (HEP) with CERN.

I'm a strong believer of Bruce Lee's 10000-hour to mastery rule; and am forever grateful to all my mentors & peers who've shaped my research.

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"Whereof one cannot speak, thereof one must be silent." ~ Ludwig Wittgenstein

News

  • June, 2026: Paper accepted at ICML Mech Interp Workshop, 2026 🎉!
  • March, 2026: Joining Safety and Alignment Research (SAAR-India) as the Technical Research Head.
  • September, 2025: Paper accepted to PRICAI-PKAW, 2025 🎉!
  • August, 2025: Paper accepted to ICCV, U&ME Workshop! 🎉
  • Summer, 2025: Research Intern @ Thoughtworks AI Labs.
  • November, 2024: Joining the Image Analytics and Biometrics Lab as an undergraduate RA, working on "Machine Unlearning for Multimodal systems". PI - Dr. Mayank Vatsa, Co-PI - Dr. Shivang Agarwal
  • Summer, 2024: Research Intern @ Center for Digital Agriculture, UIUC. Worked on "Towards Unsupervised Latent Representations for Cattle Image Segmentation". Mentor - Dr. Tiago Bresolin.
  • Summer, 2023: Machine Learning and Data Analyst Intern @ Fluxgen Technologies.

Publications

  1. Mechanistic Analysis of Alignment Algorithms in Language Models

    Aarush Sinha, Ishan Garg, Veeraraju Elluru, Arth Singh, Kushal Garg
    TBD
    arXiv
  2. Mechanistically Interpreting Compression in Vision-Language Models

    Veeraraju Elluru, Roberto Aguero, Arth Singh, Ajay Agarwal, Debojyoti Das, Hreetam Paul
    ICML Mechanistic Interpretability Workshop 2026
    arXiv
  3. Lie Algebra-Based Semantic Flow for Incompleteness Detection in Summarization

    Manikandan Ravikiran, Veeraraju Elluru, Karrtik Iyer, Prasanna Pendse, Shayan Mohanty
    PRICAI-PKAW 2025
    Springer  /  Blog
  4. Bias-Aware Machine Unlearning: Towards Fairer Vision Models via Controllable Forgetting

    Sai Siddhartha Chary Aylapuram, Veeraraju Elluru, Shivang Agarwal
    ICCV U&ME Workshop 2025
    arXiv  /  slides

Services

  • Reviewer @ COLM Actionable Interpretability Workshop, 2026.
  • Outstanding Reviewer @ ICML Mech Interp Workshop, 2026.
  • TAed Introduction to Machine Learning, F25. Instructor: Dr. Rajendra Nagar.
  • TAed Introduction to Computer Science, S25. Instructor: Dr. Mayank Vatsa.
  • Assistant Head, AI and ML Events, at Prometeo '24 — IIT Jodhpur's national technical festival.
  • Volunteer at Agile India 2023, Bangalore.