Recent News

[07/10/23] Our paper FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge was accepted to EMNLP (Main Conference) 2023.

[28/08/23] Excited to be selected as an EECS Rising Star 2023!

[09/07/23] Attending ACL 2023 to present LEXplain at *SEM 2023.

[20/06/23] Gave a talk on Reporting and Mitigating Language Model Harms at the Center for Security and Emerging Technology at Georgetown University!

[16/06/23] Our paper’LEXplain: Improving Model Explanations via Lexicon Supervision’ was accepted to *SEM.

[18/05/23] Gave a talk on Generalizable Factual Error Correction at the DARPA SemaFor group!

[05/05/23] Presented our survey paper on Mitigating LM Risks at EACL 2023.

[17/04/23] Proposed my thesis on ‘Designing Transparent and Factual Text Generation Systems Grounded in Linguistic Structures’.

[21/01/23] 2 papers accepted to EACL 2023!

Publications

(2023). CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. ArXiv.

PDF Project

(2023). FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. EMNLP 2023.

PDF Code Project

(2023). Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. EACL 2023.

PDF Project Video

(2023). Unsupervised Keyphrase Extraction via Interpretable Neural Networks. EACL 2023.

PDF Code Project Video

(2022). Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. EMNLP 2022.

PDF Code Project Video

(2022). LEXplain: Improving Model Explanations via Lexicon Supervision. SEM 2023.

PDF Project

(2021). StructSum: Summarization via Structured Representations. EACL 2021.

PDF Code Project Video

(2021). SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers. EMNLP 2021.

PDF Code Project Video

(2021). DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. ICLR 2021.

PDF Code Project Video

(2021). Simple and Efficient ways to Improve REALM. MRQA, NAACL 2021.

PDF Project

(2021). Investigating the Effect of Background Knowledge on Natural Questions. DeeLIO, EMNLP 2021.

PDF Code Project

(2020). Differentiable Reasoning over a Virtual Knowledge Base. ICLR 2020.

PDF Code Project Video

(2018). Learning to Define Terms in the Software Domain. W-NUT, EMNLP 2018.

PDF Project

Experience

 
 
 
 
 
May 2021 – August 2021
Remote

Research Intern

Allen Institute of Artificial Intelligence

 
 
 
 
 
May 2020 – August 2020
Remote

Research Intern

Google Brain

 
 
 
 
 
June 2019 – August 2019
Pittsburgh, USA

Research Intern

Google AI

 
 
 
 
 
August 2017 – Present
Pittsburgh, USA

Graduate Research Assistant

LTI, CMU

 
 
 
 
 
January 2016 – July 2017
Bangalore, India

Software Development Engineer 2

Flipkart

 
 
 
 
 
July 2015 – December 2015
Bangalore, India

Software Development Engineer 1

Flipkart

Recent Talks

Actionable Directions for Reporting and Mitigating Language Model Harms
Jun 20, 2023
Self Attention and Transformers for Undergrad NLP
Apr 16, 2022
Simple and Efficient ways to Improve REALM
Jun 1, 2021