Abhinav Ramesh Kashyap

National University of Singapore WING NUS

Abhinav Ramesh Kashyap is a fourth-year Ph.D. student advised by Prof Min-Yen Kan and also closely collaborates with Devamanyu Hazarika. His research is on Natural Language Processing. Specifically he focuses on making NLP models robust under different domains, also called Domain Adaptation. He is also interested in Scholarly Document Processing which helps extract information from scholarly articles.

Previously,

Abhinav completed his Master’s degree from the National University of Singapore. His master’s thesis involved extractive summarization specific to restaurant reviews. He was part of the Sensor Enhanced Social Media(SeSaMe) lab with Prof. Mohan Kankanhalli

News

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

Apr 19, 2021

Presenting our paper at EACL’21 online.

Mar 10, 2021

1 Long Paper accepted at NAACL. We survey domain divergences, their use cases and analyze which divergence is more suitable to predict drops in performance.

Feb 19, 2021

1 Long paper accepted at the AdaptNLP workshop at EACL. We investigate the inherent domain robustness of various kinds of pretrained language models.

Aug 1, 2020

1 short paper accepted at the DocEng with my undergrad student. This is the first attempt to create a ranking system for service contributions of researchers