My name is Kalpesh Krishna, and I am a first second year PhD in Computer Science at UMass Amherst advised by Prof. Mohit Iyyer. I do my PhD research in natural language processing.

Previously, I was an undergraduate student at IIT Bombay. I have spent summers at Google AI Language in New York (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. To get an insight on my professional life so far, you can have a look at my CV.

I blog every now and then compiling my personal experiences. Feel free to read a bit more about me!


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)