Jasjeet S. Sekhon

18 papers A* 3Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies. CoRR Zhongren Chen, Joshua Kalla, Quan Le, Shinpei Nakamura-Sakai, Jasjeet S. Sekhon, Ruixiao Wang
2025	J	`jnl`	AIA Forecaster: Technical Report. CoRR Rohan Alur, Bradly C. Stadie, Daniel Kang, Ryan Chen, Matt McManus, Michael Rickert, Tyler Lee, Michael Federici, Richard Zhu, Dennis Fogerty, Hayley Williamson, Nina Lozinski, Aaron Linsky, Jasjeet S. Sekhon
2025	J	`jnl`	Establishing Best Practices for Building Rigorous Agentic Benchmarks. CoRR Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman, Sarah Schwettmann, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang
2025	J	`jnl`	Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology. npj Digit. Medicine Mauro Giuffrè, Kisung You, Ziteng Pang, Simone Kresevic, Sunny Chung, Ryan Chen, Youngmin Ko, Colleen E. Chan, Theo Saarinen, Milos Ajcevic, Lory S. Crocè, Guadalupe Garcia-Tsao, Ian Gralnek, Joseph J. Y. Sung, Alan Barkun, Loren Laine, Jasjeet S. Sekhon, Bradly C. Stadie, Dennis L. Shung
2025	J	`jnl`	The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations. CoRR Chenyu You, Haocheng Dai, Yifei Min, Jasjeet S. Sekhon, Sarang C. Joshi, James S. Duncan
2025	J	`jnl`	Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding. npj Digit. Medicine Sunny Chung, Mauro Giuffrè, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Simone Kresevic, Colleen E. Chan, Shinpei Nakamura-Sakai, Kisung You, Theo Saarinen, Allen Hsiao, Ambrose H. Wong, Leigh V. Evans, Terika McCall, René F. Kizilcec, Jasjeet S. Sekhon, Loren Laine, Dennis L. Shung
2024	A*	`conf`	Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CVPR Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan
2024	J	`jnl`	Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations. CoRR Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan
2024	—	`conf`	Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA. CHIL Shinpei Nakamura-Sakai, Dennis L. Shung, Jasjeet S. Sekhon
2024	A*	`conf`	Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System. CHI Niroop Channa Rajashekar, Yeo Eun Shin, Yuan Pu, Sunny Chung, Kisung You, Mauro Giuffrè, Colleen E. Chan, Theo Saarinen, Allen Hsiao, Jasjeet S. Sekhon, Ambrose H. Wong, Leigh V. Evans, René F. Kizilcec, Loren Laine, Terika McCall, Dennis L. Shung
2023	—	`conf`	ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. MICCAI (4) Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
2023	J	`jnl`	ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. CoRR Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan
2023	J	`jnl`	Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator. CoRR Dennis Shen, Dogyoon Song, Peng Ding, Jasjeet S. Sekhon
2023	J	`jnl`	Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk. CoRR Colleen E. Chan, Kisung You, Sunny Chung, Mauro Giuffrè, Theo Saarinen, Niroop Rajashekar, Yuan Pu, Yeo Eun Shin, Loren Laine, Ambrose Wong, René F. Kizilcec, Jasjeet S. Sekhon, Dennis L. Shung
2022	J	`jnl`	Linear Aggregation in Tree-Based Estimators. J. Comput. Graph. Stat. Sören R. Künzel, Theo Saarinen, Edward W. Liu, Jasjeet S. Sekhon
2019	J	`jnl`	Hybridized Threshold Clustering for Massive Data. CoRR Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy, Jasjeet S. Sekhon, William Henry Hsu, Michael Higgins
2019	A*	`conf`	Shrinkage Estimators in Online Experiments. KDD Drew Dimmery, Eytan Bakshy, Jasjeet S. Sekhon
2018	J	`jnl`	Transfer Learning for Estimating Causal Effects using Neural Networks. CoRR Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel