Utkarsh Tiwari

Hi! I'm a third year undergraduate studying Computer Science at BITS Pilani. I'm currently (largely) interested in deep learning and, more specifically interpretability and learnability. In the past I have been involved in computer vision research at the Kiran Bhat Computer Graphics and Computer Vision lab at BITS Pilani. I have previously interned at the STARS team at INRIA Sophia Antipolis where I worked on video understanding models, with a focus on anomaly detection for ego-centric driving scenarios. Currently, and through our recent papers, I have been thinking about how to use formal languages to do better interpretability research.

I also enjoy writing blogposts about math and cs when I find the time. Please check them out if you can! More informally, I mantain a list of papers and projects that I've recently read and liked, along with some in-the-works projects of my own. If you find my profile interesting or useful to your projects, or even for just a chat, feel free to reach out. All spelling errors are left in as proofs of human-generated text :)

Email  /  Resume  /  Blogs  /  Scholar  /  Github

profile photo

Research

Image description Emergent Stack Representations in Modeling Counter Languages Using Transformers
Utkarsh Tiwari, Aviral Gupta, Michael Hahn
ICLR, 2025 (Accepted at the World Models Workshop!)
NAACL, 2025 (Accepted at the Student Research Workshop!)
arXiv

Image description DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models
Utkarsh Tiwari, Aryan Seth, Adi Mukherjee, Kaavya Mera, Kavish, Dhruv Kumar
NAACL, 2025 (Accepted at the Student Research Workshop!)

Image description What Matters in Autonomous Driving Anomaly Detection: A Weakly Supervised Horizon
Utkarsh Tiwari, Snehashis Majhi, Michal Balazia, François Brémond
ECCV, 2024 (Accepted with an Oral presentation at the ROAM workshop!)
arXiv / code

Miscellaneous

Papers and projects i've been thinking about

We presented our paper as an Oral at the ROAM workshop at ECCV 2024!

PPT / PDF

Some good old natural deduction proofs prepared for a logic course im TAing for

PDF

Photos from ECCV
Slideshow
Source code adapted from Sankalp Sangle


Website template from Jon Barron