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Kundan Krishna
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Journal Articles
- 2017
- [j1]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): 147:1-147:31 (2017)
Conference and Workshop Papers
- 2024
- [c12]Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace:
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. EACL (2) 2024: 50-59 - 2023
- [c11]Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton:
Downstream Datasets Make Surprisingly Good Pretraining Corpora. ACL (1) 2023: 12207-12222 - [c10]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: 1324-1336 - [c9]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: 8826-8845 - [c8]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 - 2021
- [c7]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: 4958-4972 - [c6]Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton:
Does Pretraining for Summarization Require Knowledge Transfer? EMNLP (Findings) 2021: 3178-3189 - 2020
- [c5]Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan:
Reinforced Rewards Framework for Text Style Transfer. ECIR (1) 2020: 545-560 - 2019
- [c4]Sumit Shekhar, Paridhi Maheshwari, Monisha J, Amrit Singhal, Kush Kumar Singh, Kundan Krishna:
ARComposer: Authoring Augmented Reality Experiences through Text. UIST (Adjunct Volume) 2019: 63-65 - 2018
- [c3]Kundan Krishna, Aniket Murhekar, Saumitra Sharma, Balaji Vasan Srinivasan:
Vocabulary Tailored Summary Generation. COLING 2018: 795-805 - [c2]Balaji Vasan Srinivasan, Pranav Maneriker, Kundan Krishna, Natwar Modani:
Corpus-based Content Construction. COLING 2018: 3505-3515 - [c1]Kundan Krishna, Balaji Vasan Srinivasan:
Generating Topic-Oriented Summaries Using Neural Attention. NAACL-HLT 2018: 1697-1705
Informal and Other Publications
- 2024
- [i13]Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace:
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. CoRR abs/2402.03509 (2024) - [i12]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 abs/2402.12566 (2024) - [i11]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 abs/2406.09264 (2024) - 2023
- [i10]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 abs/2305.14296 (2023) - 2022
- [i9]Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton:
Downstream Datasets Make Surprisingly Good Pretraining Corpora. CoRR abs/2209.14389 (2022) - [i8]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 abs/2209.15558 (2022) - [i7]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 abs/2212.09928 (2022) - 2021
- [i6]Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton:
Does Pretraining for Summarization Require Knowledge Transfer? CoRR abs/2109.04953 (2021) - 2020
- [i5]Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton:
Generating SOAP Notes from Doctor-Patient Conversations. CoRR abs/2005.01795 (2020) - [i4]Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan:
Reinforced Rewards Framework for Text Style Transfer. CoRR abs/2005.05256 (2020) - [i3]Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, Zachary C. Lipton:
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances. CoRR abs/2007.07151 (2020) - 2019
- [i2]Kushal Chawla, Kundan Krishna, Balaji Vasan Srinivasan:
Improving generation quality of pointer networks via guided attention. CoRR abs/1901.11492 (2019) - 2017
- [i1]Kundan Krishna, Satyadev Nandakumar:
Normality of the Ehrenfeucht-Mycielski Sequence. CoRR abs/1710.01325 (2017)
Coauthor Index
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