Kundan Krishna

30 papers A* 1B 2Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Disentangled Safety Adapters Enable Efficient Guardrails and Flexible Inference-Time Alignment.
CoRR
Kundan Krishna, Joseph Y. Cheng, Charles Maalouf, Leon A. Gatys
2025 J jnl
Learning to Reason for Hallucination Span Detection.
CoRR
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
2025 J jnl
SafetyPairs: Isolating Safety Critical Image Features with Counterfactual Image Generation.
CoRR
Alec Helbling, Shruti Palaskar, Kundan Krishna, Polo Chau, Leon A. Gatys, Joseph Yitan Cheng
2024 — conf
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains.
EACL (2)
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
2024 J jnl
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains.
CoRR
Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
2024 J jnl
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence.
CoRR
Kundan Krishna, Sanjana Ramprasad, Prakhar Gupta, Byron C. Wallace, Zachary C. Lipton, Jeffrey P. Bigham
2024 — —
Improving the reliability of language models for summarization
Kundan Krishna
2024 J jnl
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions.
CoRR
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
2023 — conf
Downstream Datasets Make Surprisingly Good Pretraining Corpora.
ACL (1)
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
2023 — conf
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise.
EMNLP (Findings)
Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu
2023 A* conf
Out-of-Distribution Detection and Selective Generation for Conditional Language Models.
ICLR
Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu
2023 — conf
USB: A Unified Summarization Benchmark Across Tasks and Domains.
EMNLP (Findings)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
2023 J jnl
USB: A Unified Summarization Benchmark Across Tasks and Domains.
CoRR
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
2022 J jnl
Downstream Datasets Make Surprisingly Good Pretraining Corpora.
CoRR
Kundan Krishna, Saurabh Garg, Jeffrey P. Bigham, Zachary C. Lipton
2022 J jnl
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise.
CoRR
Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J. Liu
2022 J jnl
Out-of-Distribution Detection and Selective Generation for Conditional Language Models.
CoRR
Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter J. Liu
2021 — conf
Does Pretraining for Summarization Require Knowledge Transfer?
EMNLP (Findings)
Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton
2021 J jnl
Does Pretraining for Summarization Require Knowledge Transfer?
CoRR
Kundan Krishna, Jeffrey P. Bigham, Zachary C. Lipton
2021 — conf
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques.
ACL/IJCNLP (1)
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
2020 J jnl
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances.
CoRR
Kundan Krishna, Amy Pavel, Benjamin Schloss, Jeffrey P. Bigham, Zachary C. Lipton
2020 J jnl
Generating SOAP Notes from Doctor-Patient Conversations.
CoRR
Kundan Krishna, Sopan Khosla, Jeffrey P. Bigham, Zachary C. Lipton
2020 — conf
Reinforced Rewards Framework for Text Style Transfer.
ECIR (1)
Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan
2020 J jnl
Reinforced Rewards Framework for Text Style Transfer.
CoRR
Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan
2019 — conf
ARComposer: Authoring Augmented Reality Experiences through Text.
UIST (Adjunct Volume)
Sumit Shekhar, Paridhi Maheshwari, Monisha J, Amrit Singhal, Kush Kumar Singh, Kundan Krishna
2019 J jnl
Improving generation quality of pointer networks via guided attention.
CoRR
Kushal Chawla, Kundan Krishna, Balaji Vasan Srinivasan
2018 B conf
Corpus-based Content Construction.
COLING
Balaji Vasan Srinivasan, Pranav Maneriker, Kundan Krishna, Natwar Modani
2018 — conf
Generating Topic-Oriented Summaries Using Neural Attention.
NAACL-HLT
Kundan Krishna, Balaji Vasan Srinivasan
2018 B conf
Vocabulary Tailored Summary Generation.
COLING
Kundan Krishna, Aniket Murhekar, Saumitra Sharma, Balaji Vasan Srinivasan
2017 J jnl
An LSTM Based System for Prediction of Human Activities with Durations.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Kundan Krishna, Deepali Jain, Sanket V. Mehta, Sunav Choudhary
2017 J jnl
Normality of the Ehrenfeucht-Mycielski Sequence.
CoRR
Kundan Krishna, Satyadev Nandakumar