Abhinav Ramesh Kashyap

ASUS-AICS National University of Singapore WING NUS

I am a Research Scientist at ASUS-AICS. I am also a part-time fifth-year Ph.D. student advised by Prof Min-Yen Kan. I closely collaborate with Devamanyu Hazarika and Soujanya Poria. My research focuses on Natural Language Processing.

Specifically I make NLP models robust under different domains, also called Domain Adaptation. I am interested in using unsupervised data from different domains for domain adaptation. My recent interest focuses on using parameter efficient learning methods for domain adaptation of Large Language Models.

In AICS, I work on Clinical Natural Language Processing. If you want to know more about this reserach and for collaborations, email me.


I have done an internship at Amazon, with the Alexa AI team. I completed my Master’s degree from the National University of Singapore. His master’s thesis involved extractive summarization specific to restaurant reviews. I was part of the Sensor Enhanced Social Media(SeSaMe) lab with Prof. Mohan Kankanhalli


Jan 10, 2023

Our paper “UDAPTER: Efficient Domain Adaptation using Adapters” has been accepted for EACL’23. This paper aims to make domain adaptation more efficient. This is a joint work with Bhavitvtya Malik. Code, paper and everything nice, coming soon.

Jan 10, 2023

Our Survey paper “Scientific Document Processing: Challenges for Modern Learning Methods” is accepted at IJDL.

Oct 17, 2022

Excited to join ASUS-AICS. I will be working on Clinical NLP.

Aug 31, 2022

Passed my Thesis Proposal at NUS

May 25, 2022

Presented our Paper “So Different Yet So Alike! Constrained Unsupervised Text Style Transfer” at ACL’22 as an oral presentation

May 13, 2022

Presented our paper “So Different Yet So Alike! Constrained Unsupervised Text Style Transfer” at SSNLP’22

Apr 22, 2022

Recognized as an Outstanding Reviewer for ICLR 2022

Apr 1, 2022

Wrapped up my internship at Amazon.

Feb 24, 2022

Our work “So Different Yet So Alike! Constrained Unsupervised Text Style Transfer” is accepted at ACL.

Oct 1, 2021

Started as an Applied Scientist Intern @ Amazon Science. Excited to work with Mahdi Namazifar