My name is Kalpesh Krishna, and I am a third fourth year PhD student in Computer Science at UMass Amherst advised by Prof. Mohit Iyyer in the UMass NLP lab. My research is supported by the Google PhD Fellowship. I am currently also interning at Allen AI. At UMass, I co-organize the Machine Learning and Friends Lunch.

I received my undergraduate degree at IIT Bombay. In the past, I’ve done some fun internships at Google Research (Spring 2022, Summer 2021, Summer 2020, Summer 2019), Toyota Technological Institute at Chicago (Summer 2017) and Mozilla (Summer 2016).

I maintain a list of my publications and research implementations under the Research tab. I also blog every now and then compiling my personal experiences.

CV / Resume: link
Email ID:


June 2022:started my summer internship at Allen AI where I will be working with Kyle Lo, Arman Cohan and Pradeep Dasigi.
Apr 2022:new preprint: RankGen: Improving Text Generation with Large Ranking Models. The code and model checkpoints have been added here.
Feb 2022:two papers to appear in ACL 2022, on few-shot multilingual style transfer and a new retrieval benchmark on literary text.
Oct 2021:started a part-time student researcher position at Google AI Language, where I will be working with John Wieting.
Sept 2021:received the Google PhD Fellowship for 2021! (list of recipients)
June 2021:started my summer internship at Google Research India where I will be working with Partha Talukdar and Bidisha Samanta
May 2021 - July 2021:talks at Google Research (slides), University of Texas at Austin (slides), University of Southern California (slides, video) on text generation and perils of its evaluation.
Mar 2021:new paper on longform question answering on ELI5 to appear in NAACL 2021! Read more in our Google AI blogpost.
Dec 2020:passed my PhD candidacy with distinction!
Sep 2020:I am excited to share a new bird photography webpage! Check the Birding tab.
Sep 2020:new paper on paraphrasing for unsupervised style transfer to appear at EMNLP 2020. Check out a live demo and the codebase here.
May 2020:started my summer internship at Google Brain, where I will be working with Aurko Roy
Apr 2020:talk at IBM research on model extraction attacks on BERT (slides)
Apr 2020:new blogpost with Nicolas Papernot on our ICLR 2020 paper on model extraction attacks on BERT.
Jan 2020:I am co-organizing the Machine Learning and Friends Lunch at UMass Amherst with Neha Nayak Kennard. If you have speaker recommendations, fill them here!
Dec 2019: new paper on model extraction attacks on BERT-based models to appear at ICLR 2020.
Oct 2019: new blog surveying twelve recent NLP PhD applicants on the graduate school admission process! Also an Insight IITB article on my personal experience.
Aug 2019: lightning talk at the AllenNLP Summit 2019 on using AllenNLP for education. Check out the AllenNLP homework I designed for our grad NLP class here!
Jul 2019: presented papers on QA generation and faster transformer decoding at ACL 2019. Check out our web demo on hierarchical QA generation!
Jul 2019: awarded the ACL 2019 Student Scholarship and the Victor Lesser Graduate Scholarship
Jun 2019: Purva Tendulkar won the Best Presentation Award for our paper in ICCC 2019!
May 2019: started summer internship at Google AI Language in New York
Apr 2019: talk at the UMass Data Science Research Symposium 2019
Apr 2019: new paper on thematic doodle generation to appear in ICCC 2019
Nov 2018: presented paper on logic rules for sentiment classification at EMNLP 2018 (slides)
Sep 2018: started my PhD in Computer Science at UMass Amherst
Aug 2018: graduated from IIT Bombay, receiving the Sharad Maloo Memorial Gold Medal
Jul 2018: new preprint on hierarchical multitask learning for speech recognition
Jun 2018: new blogs on grad resources, IIT Bombay CS opportunities and crowdsourcing
Apr 2018: presented paper on CNNs for end-to-end speech recognition at ICASSP 2018 (poster)