My name is Arul Kolla. I'm a master's student at MIT studying Artificial Intelligence and Decision Making in the EECS department. Currently, I'm a Citadel Undergraduate Research and Innovation Scholar through MIT SuperUROP and a student researcher with the Energy-Efficient Circuits and Systems Group, led by Anantha Chandrakasan, where I work with Kyungmi Lee and Peiyan Dong.
I'm interested in how humans can generalize well from small amounts of data, and why models still need large amounts of data to not generalize as well. More formally, my current interests include:
Efficient Generative AI Inference via Nonlinear Kernel Approximation
Arul Kolla, Kyungmi Lee, Peiyan Dong, Chris Mejia, Anantha Chandrakasan
Energy-Efficient Circuits and Systems Group (Citadel Undergraduate Research and Innovation Scholar, via MIT SuperUROP)
Ongoing project
REBOUND: Radioactive Elasticity-Based Objectives for Unwatermarking Neural Decoders
Arul Kolla
6.7960 (Deep Learning) research project, December 2025
PDF · Project
In-Context Learning for Esoteric Programming Languages: Evaluating and Enhancing LLM Reasoning Without Fine-Tuning
Saraswathy Amjith, Michael Wang, Arul Kolla, Jayson Lynch, Neil Thompson
DL4C @ NeurIPS 2025 · FutureTech
PDF · OpenReview
A Sublinear Algorithm for Path Feasibility Among Rectangular Obstacles
Alex Fan, Alicia Li, Arul Kolla, Jason Gonzalez
arXiv preprint, 2025
PDF · arXiv