Neeraj Varshney

Ph.D. student
Natural Language Processing (NLP)
2019‐2024 (Expected)
School of Computing & AI
Arizona State University
nvarshn2 at asu dot edu

I'm a fourth-year Ph.D. student at Arizona State University working in Natural Language Processing/Understanding with Dr. Chitta Baral.

My research is centered around the topics of Efficiency and Reliability in NLP. I believe that these topics have immense practical significance and are very important, especially for real-world applications.

Specifically, on the efficiency topic, I have worked on improving inference efficiency of NLP systems (how to make inference in a computationally efficient manner without sacrificing the prediction accuracy), training data efficiency (how to leverage procedurally generated data to train a competitive model and how to efficiently crowd-source high-quality data instances), open-domain QA reader efficiency (how to efficiently leverage external knowledge in answering open-domain questions), efficiently indexing external knowledge for open-domain QA, and evaluation efficiency (how to efficiently compare the performance of different competing models).

On the reliability topic, I have worked on Selective Prediction, Post-Abstention, and Clarification questions (ongoing). Selective prediction enables the systems to abstain from making predictions when they are likely to be incorrect and thus improves the systems' reliability.

I have published papers on these topics at premier AI and NLP conferences including ACL, EMNLP, EACL, NAACL, AAAI, and AAMAS.


Jan 21, 2023

My paper "John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility got accepted to EACL 2023.

Jan 14, 2023

Crossed 100 citationsscholar

Dec 27, 2022

Received Graduate College Travel Award FY23 Q3 for AAAI from ASU.

Dec 22, 2022

AAAI 2023 Student Scholarship.

Dec 7-11, 2022

Presented my EMNLP 2022 papers in-person in Abu Dhabi.

Nov 26, 2022

Reviewed for EACL 2023 for Question Answering Track.

Nov 19, 2022

My paper "Can Open-Domain QA Reader Utilize External Knowledge Efficiently like Humans?" has been accepted to appear at the AAAI'23 Workshop on Knowledge Augmented Methods for NLP.

Oct 27, 2022

Received ASU GPSA Travel Award for EMNLP 2022.

Oct 6, 2022

Received SACI Conference Award for EMNLP from ASU.

Sep 26, 2022

Received Graduate College Travel Award FY23 Q2 for EMNLP from ASU.

July 25, 2022

Crossed 50K views on my medium articles.

June 21, 2022
May 23, 2022

Presented my papers at ACL 2022 in Ireland.

Summer 2022

Applied Scientist internship at Amazon Science under the mentorship of Alessandro Moschitti, Rik Koncel-Kedziorski, Siddhant Garg, Ivano Lauriola, Ankit Chadha.

Apr 15, 2022

Received Spring 2022 ASU GPSA Travel Award.

Apr 7, 2022

Received registration award from Repl4NLP workshop @ACL 2022.

Mar 30, 2022
Mar 8, 2022
Feb 26, 2022
Fall 2021

Mentered class projects for Natural Language Processing course at ASU.

Aug 2019

Started Computer Science Ph.D. program at Arizona State Univeristy.

July 2018

Joined Microsoft India as a Software Developer.

June 2018

Completed B.E. in Computer Science with Distinction (GPA: 9.11) at Birla Institute of Technology & Science, Pilani.

Fall 2018

Internship at Microsoft.

Summer 2017

Internship at Samsung R&D Institute.

Summer 2016

Internship at Valuefirst Digital Media.

Aug 2014

Started B.E. in Computer Science at Birla Institute of Technology & Science, Pilani.