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

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)

Vocabulary Tailored Summary Generation. - Kundan Krishna; Aniket Murhekar; Saumitra Sharma; Balaji Vasan Srinivasan (COLING, 2018)

Corpus-based Content Construction. - Balaji Vasan Srinivasan; Pranav Maneriker; Kundan Krishna; Natwar Modani (COLING, 2018)

Generating Topic-Oriented Summaries Using Neural Attention. - Kundan Krishna; Balaji Vasan Srinivasan (NAACL-HLT, 2018)

ARComposer: Authoring Augmented Reality Experiences through Text. - Sumit Shekhar; Paridhi Maheshwari; Monisha J; Amrit Singhal; Kush Kumar Singh; Kundan Krishna (UIST (Adjunct Volume), 2019)

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

Reinforced Rewards Framework for Text Style Transfer. - Abhilasha Sancheti; Kundan Krishna; Balaji Vasan Srinivasan; Anandhavelu Natarajan (ECIR (1), 2020)

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

Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques. - Kundan Krishna; Sopan Khosla; Jeffrey P. Bigham; Zachary C. Lipton (ACL/IJCNLP (1), 2021)

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

Downstream Datasets Make Surprisingly Good Pretraining Corpora. - Kundan Krishna; Saurabh Garg; Jeffrey P. Bigham; Zachary C. Lipton (ACL (1), 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 (EMNLP (Findings), 2023)

Improving the Robustness of Summarization Models by Detecting and Removing Input Noise. - Kundan Krishna; Yao Zhao; Jie Ren 006; Balaji Lakshminarayanan; Jiaming Luo; Mohammad Saleh; Peter J. Liu (EMNLP (Findings), 2023)

Out-of-Distribution Detection and Selective Generation for Conditional Language Models. - Jie Ren 006; Jiaming Luo; Yao Zhao; Kundan Krishna; Mohammad Saleh; Balaji Lakshminarayanan; Peter J. Liu (ICLR, 2023)

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. - Sanjana Ramprasad; Kundan Krishna; Zachary C. Lipton; Byron C. Wallace (EACL (2), 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 001; Savvas Petridis; Yi-Hao Peng; Li Qiwei; Sushrita Rakshit; Chenglei Si; et al. (CoRR, 2024)

Improving the reliability of language models for summarization - Kundan Krishna (2024)

Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment. - Kundan Krishna; Joseph Y. Cheng; Charles Maalouf; Leon A. Gatys (CoRR, 2025)