aradhye agarwal

aradhye agarwal

resume | scholar | github | email | twitter


I am a Research Fellow at Microsoft Research India. I am a part of the reasoning team, under Akshay Nambi, where we work on cutting-edge research in reasoning models and AI agents. Before this I worked with Prof. Tanmoy Chakraborty, who was my thesis advisor, and the work done by us was published at TACL'24. Earlier, I had the opportunity to work with Prof. Chetan Arora, with whom I published my very first paper in CVPR'24 which was on monocular depth estimation. Before this, I worked with Prof. Rohan Paul on robust verbal communication with field robots through the use of contextual correction of transcriptions.

news

Jul 21, 2025 I joined Microsoft Research as an RF under Akshay Nambi.
Jul 17, 2025 Our PEFT paper is officially accepted at TACL'24.
Jun 26, 2025 I successfully defended my thesis at IIT Delhi!
Dec 20, 2024 I came second in a kaggle competition winning $10,000!
Nov 12, 2024 This webpage is live.

publications

(* denotes equal contribution)
  1. ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation
    Suraj Patni*, Aradhye Agarwal*, Chetan Arora
    Computer Vision and Pattern Recognition (CVPR), 2024
    paper | arxiv | code | website | cite
  2. The Third Monocular Depth Estimation Challenge
    Computer Vision and Pattern Recognition Workshop (CVPRW), 2024
    paper | arxiv | website | cite
  3. Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
    Aradhye Agarwal*, Suhas Kamasetty Ramesh*, Ayan Sengupta*, Tanmoy Chakraborty
    Transactions of the Association for Computational Linguistics (TACL), 2024
    paper | arxiv | code | cite