Portrait of Akshit Singh

AkshitSingh

We shall train on the benchmarks, we shall adapt at test time, we shall never ask for labels.

All the world's a lab, and I have played many interns in it. IIT was my first act; Dartmouth is my current one.

About

I'm a Master's student in Computer Science at Dartmouth College. Before that, I earned my undergraduate degree at IIT Jodhpur. Along the way, I've interned at MIT CSAIL, Texas State University, HyperVerge and IIT Jodhpur, each one adding a new piece to how I think about research.

My work has been published at CVPR and AAAI, and I had the honor of presenting an oral at ACCV. I've also worked as an independent researcher, and I loved the freedom to choose my own questions and follow them wherever they led.

Above all, I care about problems that affect people and society. The interests below come from my work so far, but they will keep changing as I find new problems worth solving.

  • Test-time learning for AIModels that adapt and improve themselves at inference, without ground-truth labels.
  • Long-context multimodal reasoningReasoning across long sequences of images, video and text.
  • Active vision and roboticsGeneralizable robots, test-time learning for robotics, implicit surfaces and LiDAR mapping.

News

  • New pre-print Architectural Sampling is out.
  • TTRV accepted to CVPR 2026 as first author.
  • Joined MIT CSAIL as a student researcher.
  • Graduated with a B.Tech in Electrical Engineering from IIT Jodhpur.
  • CCNDF accepted as an oral at ACCV 2024, with a 5.6% acceptance rate.
  • Sole-author student abstract on bias in generative AI accepted at AAAI 2024.

Places

Some of the places I’ve been, and a few I’d like to show you.

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Education

Dartmouth College

Master’s in Computer Science, Guarini School of Graduate and Advanced Studies

Hanover, NH, September 2026 to present

Indian Institute of Technology Jodhpur

Bachelor of Technology in Electrical Engineering

Jodhpur, India, graduated May 2025

Contact

Always up for a conversation about test-time learning, multimodal reasoning, robotics, or a collaboration waiting to happen.