Kalpesh Krishna

According to our database, Kalpesh Krishna authored at least 31 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation.

Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey, Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui

CoRR, 2024

GEE! Grammar Error Explanation with Large Language Models.

Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation.

Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PostMark: A Robust Blackbox Watermark for Large Language Models.

Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

On the Risks of Stealing the Decoding Algorithms of Language Models.

Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr

CoRR, 2023

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.

Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization.

Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution.

Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O'Connor

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Stealing the Decoding Algorithms of Language Models.

Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature.

Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SLING: Sino Linguistic Evaluation of Large Language Models.

Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Mohit Iyyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RankGen: Improving Text Generation with Large Ranking Models.

Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RELiC: Retrieving Evidence for Literary Claims.

Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings.

Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages.

Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar

CoRR, 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

CoRR, 2021

Hurdles to Progress in Long-form Question Answering.

Kalpesh Krishna, Aurko Roy, Mohit Iyyer

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Do Long-Range Language Models Actually Use Long-Range Context?

Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Weakly-Supervised Open-Retrieval Conversational Question Answering.

Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer

Proceedings of the Advances in Information Retrieval, 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, Andrew McCallum

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

SunPy: A Python package for Solar Physics.

Stuart Mumford, Nabil Freij, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will T. Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray

J. Open Source Softw., 2020

Thieves on Sesame Street! Model Extraction of BERT-based APIs.

Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer

Proceedings of the 8th International Conference on Learning Representations, 2020

Reformulating Unsupervised Style Transfer as Paraphrase Generation.

Kalpesh Krishna, John Wieting, Mohit Iyyer

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Trick or TReAT : Thematic Reinforcement for Artistic Typography.

Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh

Proceedings of the Tenth International Conference on Computational Creativity, 2019

Generating Question-Answer Hierarchies.

Kalpesh Krishna, Mohit Iyyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Syntactically Supervised Transformers for Faster Neural Machine Translation.

Nader Akoury, Kalpesh Krishna, Mohit Iyyer

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Hierarchical Multitask Learning for CTC-based Speech Recognition.

Kalpesh Krishna, Shubham Toshniwal, Karen Livescu

CoRR, 2018

A Study of All-Convolutional Encoders for Connectionist Temporal Classification.

Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Revisiting the Importance of Encoding Logic Rules in Sentiment Classification.

Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018