Agneet Chatterjee

I am a 2nd year PhD student at Arizona State University, where I am fortunate to be advised by Chitta Baral and Yezhou Yang. My current research interests are : Investigating and improving spatial reasoning abilities in text-to-image and multimodal large language models.

I received my Bachelors, in Computer Science from Jadavpur University, India in 2019. Before I started my PhD, I spent 3 years as a software engineer at Salesforce.

Email  /  CV  /  Google Scholar  /  Twitter  /  GitHub

profile photo

  • April, 2024 - New preprint out. More details on our website.
  • March, 2024 - 1 paper accepted to NAACL 2024.
  • March, 2024 - Received the SCAI Conference Award.
  • February, 2024 - 1 paper accepted to CVPR 2024.
  • February, 2024 - Received the SCAI Doctoral Fellowship.
  • March, 2023 - Received the SCAI Engineering Fellowship.
  • January, 2023 - Started my PhD.


Representative papers are highlighted.

Getting it Right: Improving Spatial Consistency in Text-to-Image Models
Agneet Chatterjee*, Gabriela Ben Melech Stan*, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal , Chitta Baral , Yezhou Yang
Under Review

Paper | Project | Code

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation
Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang
CVPR 2024

Paper | Project | Code

Accelerating LLM Inference by Enabling Intermediate Layer Decoding
Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral
NAACL 2024


This website's source code is borrowed from Jon Barron. Much thanks!