GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence
K Krishna, S Ramprasad, P Gupta, BC Wallace, ZC Lipton, JP Bigham
preprint (https://arxiv.org/abs/2402.12566)
USB: A Unified Summarization Benchmark Across Tasks and Domains
K Krishna, P Gupta, S Ramprasad, BC Wallace, JP Bigham, ZC Lipton
EMNLP (Findings) 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
K Krishna, Y Zhao, J Ren, B Lakshminarayanan, J Luo, M Saleh, PJ Liu
EMNLP (Findings) 2023
Downstream Datasets Make Surprisingly Good Pretraining Corpora
Kundan Krishna, Saurabh Garg, Jeffrey Bigham, Zachary C Lipton
ACL 2023
Does Pretraining for Summarization Require Knowledge Transfer?
Kundan Krishna, Jeffrey Bigham, Zachary C Lipton
EMNLP (Findings) 2021
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, and Zachary C. Lipton
ACL 2021
Extracting structured data from physician-patient conversations by predicting noteworthy utterances
Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, and Zachary C. Lipton
International Workshop on Health Intelligence at AAAI 2020
Generating topic-oriented summaries using neural attention
Kundan Krishna, Balaji V. Srinivasan
NAACL 2018
Vocabulary Tailored Summary Generation
Kundan Krishna, Aniket Murhekar, Saumitra Sharma, Balaji V. Srinivasan
COLING 2018
An LSTM Based System for Prediction of Human Activities with Durations
Kundan Krishna∗, Deepali Jain∗, Sanket V. Mehta, Sunav Choudhary (∗-equal contribution)
UBICOMP 2018
( for more details visit my Google Scholar page )