Sanjay Suryanarayanan

University of Washington

Seattle, Washington, USA

Hello · नमस्ते · வணக்கம் · ನಮಸ್ಕಾರ !

I’m Sanjay, a Master’s student in Computational Linguistics at the University of Washington.

My current research focuses on Multilingual and Multimodal Language Modeling. Additionally, I am exploring Mechanistic Interpretability and Reinforcement Learning as complementary directions within these domains. In simpler terms, I spend my time thinking about how language models work, how to make them better, and why they do things that make absolutely no sense!

Previously, I was a Research Associate at the AI4Bhārat Lab at IIT Madras, where I spent nearly three years researching multilingual and multimodal language modeling and building state-of-the-art neural machine translation (NMT), automatic speech recognition (ASR), and text-to-speech (TTS) models for Indic languages. I had the privilege of working under the guidance of Dr. Mitesh Khapra, Dr. Raj Dabre, Dr. Anoop Kunchukuttan and Dr.Rudra Murthy.

I’m always excited by interesting research problems, ambitious ideas, and collaborations with people who are passionate about building things that matter. Feel free to reach out via email, LinkedIn, or X.

news

Sep 30, 2026	After almost three years at AI4Bhārat, IIT Madras, I’m heading back to school to pursue my Master of Science in Computational Linguistics at the University of Washington!
Jul 09, 2026	Happy to share that our paper “Seeing Isn’t Believing: Uncovering Blind Spots in Evaluator Vision-Language Models” has been accepted to COLM 2026!
Apr 01, 2026	Our work “Seeing Isn’t Believing: Uncovering Blind Spots in Evaluator Vision-Language Models” is out on arXiv!
Dec 12, 2025	I will be attending AACL 2025 at IIT Bombay, India, from Dec 20 to 24 and will be presenting our poster on Dec 21 from 4:00 PM to 5:30 PM at VMCC (Session MC-PP4: Multilingual NLP and Machine Translation). Feel free to drop by to chat and learn more about our work. Resources are available here.
Oct 25, 2025	Happy to share that our work “Pralekha: Cross Lingual Document Alignment for Indic Languages” has been accepted to the main conference of AACL 2025!

selected publications

COLM 2026

Seeing Isn’t Believing: Uncovering Blind Spots in Evaluator Vision-Language Models

Mohammed Safi Ur Rahman Khan, Sanjay Suryanarayanan, Tushar Anand, and Mitesh M. Khapra

Third Conference on Language Modeling, Oct 2026

Bib PDF Code Data

@article{khan2026seeing,
  title = {Seeing Isn't Believing: Uncovering Blind Spots in Evaluator Vision-Language Models},
  author = {Khan, Mohammed Safi Ur Rahman and Suryanarayanan, Sanjay and Anand, Tushar and Khapra, Mitesh M.},
  month = oct,
  year = {2026},
  journal = {Third Conference on Language Modeling},
  url = {https://arxiv.org/abs/2604.21523},
}

AACL 2025

Pralekha: Cross-Lingual Document Alignment for Indic Languages

Sanjay Suryanarayanan, Haiyue Song, Mohammed Safi Ur Rahman Khan, Anoop Kunchukuttan, and Raj Dabre

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Dec 2025

Bib PDF Code Data

@article{suryanarayanan-etal-2025-pralekha,
  title = {Pralekha: Cross-Lingual Document Alignment for Indic Languages},
  author = {Suryanarayanan, Sanjay and Song, Haiyue and Khan, Mohammed Safi Ur Rahman and Kunchukuttan, Anoop and Dabre, Raj},
  month = dec,
  year = {2025},
  address = {Mumbai, India},
  journal = {Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics},
  publisher = {The Asian Federation of Natural Language Processing and The Association for Computational Linguistics},
  url = {https://aclanthology.org/2025.ijcnlp-long.37/},
  pages = {662--676},
}