Kundan Krishna

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Greater Robustness

Graph Based Induction

Future Directions

Summary Generation

Top Venues

EMNLP (Findings)

Publications

Kundan Krishna, Sanjana Ramprasad, Prakhar Gupta, Byron C. Wallace, Zachary C. Lipton, Jeffrey P. Bigham
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence. CoRR (2024)
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. CoRR (2024)
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. EACL (2) (2024)
Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR (2024)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
Downstream Datasets Make Surprisingly Good Pretraining Corpora. ACL (1) (2023)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
USB: A Unified Summarization Benchmark Across Tasks and Domains. EMNLP (Findings) (2023)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
USB: A Unified Summarization Benchmark Across Tasks and Domains. CoRR (2023)
Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. EMNLP (Findings) (2023)
Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu
Out-of-Distribution Detection and Selective Generation for Conditional Language Models. ICLR (2023)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
Downstream Datasets Make Surprisingly Good Pretraining Corpora. CoRR (2022)
Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. CoRR (2022)
Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu
Out-of-Distribution Detection and Selective Generation for Conditional Language Models. CoRR (2022)
Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton
Does Pretraining for Summarization Require Knowledge Transfer? EMNLP (Findings) (2021)
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques. ACL/IJCNLP (1) (2021)
Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton
Does Pretraining for Summarization Require Knowledge Transfer? CoRR (2021)
Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan
Reinforced Rewards Framework for Text Style Transfer. ECIR (1) (2020)
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
Generating SOAP Notes from Doctor-Patient Conversations. CoRR (2020)
Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, Zachary C. Lipton
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances. CoRR (2020)
Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan
Reinforced Rewards Framework for Text Style Transfer. CoRR (2020)
Kushal Chawla, Kundan Krishna, Balaji Vasan Srinivasan
Improving generation quality of pointer networks via guided attention. CoRR (2019)
Sumit Shekhar, Paridhi Maheshwari, Monisha J, Amrit Singhal, Kush Kumar Singh, Kundan Krishna
ARComposer: Authoring Augmented Reality Experiences through Text. UIST (Adjunct Volume) (2019)
Kundan Krishna, Aniket Murhekar, Saumitra Sharma, Balaji Vasan Srinivasan
Vocabulary Tailored Summary Generation. COLING (2018)
Kundan Krishna, Balaji Vasan Srinivasan
Generating Topic-Oriented Summaries Using Neural Attention. NAACL-HLT (2018)
Balaji Vasan Srinivasan, Pranav Maneriker, Kundan Krishna, Natwar Modani
Corpus-based Content Construction. COLING (2018)
Kundan Krishna, Satyadev Nandakumar
Normality of the Ehrenfeucht-Mycielski Sequence. CoRR (2017)
Kundan Krishna, Deepali Jain, Sanket V. Mehta, Sunav Choudhary
An LSTM Based System for Prediction of Human Activities with Durations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (4) (2017)