Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains - Sanjana Ramprasad; Kundan Krishna; Zachary C. Lipton; Byron C. Wallace (Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2024 - Volume 2: Short Papers, St. Julian's, Malta, March 17-22, 2024, 2024)

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains - Sanjana Ramprasad; Kundan Krishna; Zachary C. Lipton; Byron C. Wallace (CoRR, 2024)

GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence - Kundan Krishna; Sanjana Ramprasad; Prakhar Gupta; Byron C. Wallace; Zachary C. Lipton; Jeffrey P. Bigham (CoRR, 2024)

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions - 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; et al. (CoRR, 2024)

Downstream Datasets Make Surprisingly Good Pretraining Corpora - Kundan Krishna; Saurabh Garg; Jeffrey P. Bigham; Zachary C. Lipton (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Improving the Robustness of Summarization Models by Detecting and Removing Input Noise - Kundan Krishna; Yao Zhao; Jie Ren; Balaji Lakshminarayanan; Jiaming Luo; Mohammad Saleh; Peter J. Liu (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

USB: A Unified Summarization Benchmark Across Tasks and Domains - Kundan Krishna; Prakhar Gupta; Sanjana Ramprasad; Byron C. Wallace; Jeffrey P. Bigham; Zachary C. Lipton (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Out-of-Distribution Detection and Selective Generation for Conditional Language Models - Jie Ren; Jiaming Luo; Yao Zhao; Kundan Krishna; Mohammad Saleh; Balaji Lakshminarayanan; Peter J. Liu (The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, 2023)

USB: A Unified Summarization Benchmark Across Tasks and Domains - Kundan Krishna; Prakhar Gupta; Sanjana Ramprasad; Byron C. Wallace; Jeffrey P. Bigham; Zachary C. Lipton (CoRR, 2023)

Downstream Datasets Make Surprisingly Good Pretraining Corpora - Kundan Krishna; Saurabh Garg; Jeffrey P. Bigham; Zachary C. Lipton (CoRR, 2022)

Out-of-Distribution Detection and Selective Generation for Conditional Language Models - Jie Ren; Jiaming Luo; Yao Zhao; Kundan Krishna; Mohammad Saleh; Balaji Lakshminarayanan; Peter J. Liu (CoRR, 2022)

Improving the Robustness of Summarization Models by Detecting and Removing Input Noise - Kundan Krishna; Yao Zhao; Jie Ren; Balaji Lakshminarayanan; Jiaming Luo; Mohammad Saleh; Peter J. Liu (CoRR, 2022)

Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques - Kundan Krishna; Sopan Khosla; Jeffrey P. Bigham; Zachary C. Lipton (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021)

Does Pretraining for Summarization Require Knowledge Transfer? - Kundan Krishna; Jeffrey P. Bigham; Zachary C. Lipton (Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, 2021)

Does Pretraining for Summarization Require Knowledge Transfer? - Kundan Krishna; Jeffrey P. Bigham; Zachary C. Lipton (CoRR, 2021)

Reinforced Rewards Framework for Text Style Transfer - Abhilasha Sancheti; Kundan Krishna; Balaji Vasan Srinivasan; Anandhavelu Natarajan (Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part I, 2020)

Generating SOAP Notes from Doctor-Patient Conversations - Kundan Krishna; Sopan Khosla; Jeffrey P. Bigham; Zachary C. Lipton (CoRR, 2020)

Reinforced Rewards Framework for Text Style Transfer - Abhilasha Sancheti; Kundan Krishna; Balaji Vasan Srinivasan; Anandhavelu Natarajan (CoRR, 2020)

Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances - Kundan Krishna; Amy Pavel; Benjamin Schloss; Jeffrey P. Bigham; Zachary C. Lipton (CoRR, 2020)

ARComposer: Authoring Augmented Reality Experiences through Text - Sumit Shekhar; Paridhi Maheshwari; Monisha J; Amrit Singhal; Kush Kumar Singh; Kundan Krishna (Adjunct Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, UIST 2019, New Orleans, LA, USA, October 20-23, 2019, 2019)

Improving generation quality of pointer networks via guided attention - Kushal Chawla; Kundan Krishna; Balaji Vasan Srinivasan (CoRR, 2019)

Vocabulary Tailored Summary Generation - Kundan Krishna; Aniket Murhekar; Saumitra Sharma; Balaji Vasan Srinivasan (Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018, 2018)

Corpus-based Content Construction - Balaji Vasan Srinivasan; Pranav Maneriker; Kundan Krishna; Natwar Modani (Proceedings of the 27th International Conference on Computational Linguistics, COLING 2018, Santa Fe, New Mexico, USA, August 20-26, 2018, 2018)

Generating Topic-Oriented Summaries Using Neural Attention - Kundan Krishna; Balaji Vasan Srinivasan (Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers), 2018)

An LSTM Based System for Prediction of Human Activities with Durations - Kundan Krishna; Deepali Jain; Sanket V. Mehta; Sunav Choudhary (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Normality of the Ehrenfeucht-Mycielski Sequence - Kundan Krishna; Satyadev Nandakumar (CoRR, 2017)