I am broadly interested in Natural Language Processing (especially Text Generation) and Machine Learning Security & Privacy.

Google Scholar, Semantic Scholar

Selected Papers

RankGen: Improving Text Generation with Large Ranking Models
Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer
arXiv 2022
code // external summary

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings
Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar
ACL 2022
data // project page

Hurdles to Progress in Long-form Question Answering
Kalpesh Krishna, Aurko Roy, Mohit Iyyer
NAACL 2021
blog // code // project page

Reformulating Unsupervised Style Transfer as Paraphrase Generation
Kalpesh Krishna, John Wieting, Mohit Iyyer
EMNLP 2020
project page (demo + code + data + video) // external video

Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer
ICLR 2020
blog // project page (code + slides + Twitter + external)

Generating Question-Answer Hierarchies
Kalpesh Krishna, Mohit Iyyer
ACL 2019
project page (demo + code + data) // technical note // poster // external blog

Other Papers

RELiC: Retrieving Evidence for Literary Claims
Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer
ACL 2022
code // project page

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole and others
arXiv 2021

Do Long-Range Language Models Actually Use Long-Range Context?
Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke and Mohit Iyyer
EMNLP 2021

Weakly-Supervised Open-Retrieval Conversational Question Answering
Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna and Mohit Iyyer
ECIR 2021

Long Document Summarization in a Low Resource Setting using Pretrained Language Models
Ahsaas Bajaj*, Pavitra Dangati*, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das and Andrew McCallum
ACL Student Research Workshop (SRW) 2021

An Analysis of Frame-skipping in Reinforcement Learning
Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla
arXiv 2021

SunPy: A Python package for Solar Physics
Stuart J. Mumford and others
JOSS 2020

Syntactically Supervised Transformers for Faster Neural Machine Translation
Nader Akoury, Kalpesh Krishna, Mohit Iyyer
ACL 2019
code // poster

Trick or TReAT: Thematic Reinforcement for Artistic Typography
Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh
ICCC 2019 (oral presentation, Best Presentation Award)
code // slides // video // demo

Revisiting the Importance of Encoding Logic Rules in Sentiment Classification
Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer
EMNLP 2018 (oral presentation, short paper)
code + data // slides // video

Hierarchical Multitask Learning for CTC-based Speech Recognition
Kalpesh Krishna, Shubham Toshniwal, Karen Livescu
[external video]
arXiv 2018

A Study of All-Convolutional Encoders for Connectionist Temporal Classification
Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu
ICASSP 2018 (Awarded SPS Travel Grant)

Main Collaborators (in order of publication date): Karen Livescu, Kevin Gimpel, Liang Lu, Shubham Toshniwal, Preethi Jyothi, Mohit Iyyer, Purva Tendulkar, Ramprasaath R. Selvaraju, Devi Parikh, Nader Akoury, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, John Wieting, Aurko Roy, Simeng Sun, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar, Yapei Chang, Katherine Thai.


Undergraduate Thesis - Constraint Driven Learning
(under guidance of Prof. Preethi Jyothi)
IIT Bombay (2017-2018)