Jasjeet S. Sekhon

According to our database, Jasjeet S. Sekhon authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Establishing Best Practices for Building Rigorous Agentic Benchmarks.

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

CoRR, July, 2025

A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies.

Zhongren Chen, Joshua Kalla, Quan Le, Shinpei Nakamura-Sakai, Jasjeet S. Sekhon, Ruixiao Wang

CoRR, May, 2025

The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations.

Chenyu You, Haocheng Dai, Yifei Min, Jasjeet S. Sekhon, Sarang C. Joshi, James S. Duncan

CoRR, January, 2025

Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology.

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

npj Digit. Medicine, 2025

2024

Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations.

Chenyu You, Yifei Min, Weicheng Dai, Jasjeet S. Sekhon, Lawrence H. Staib, James S. Duncan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA.

Shinpei Nakamura-Sakai, Dennis L. Shung, Jasjeet S. Sekhon

Proceedings of the Conference on Health, 2024

Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System.

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

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.

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

CoRR, 2023

Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator.

Dennis Shen, Dogyoon Song, Peng Ding, Jasjeet S. Sekhon

CoRR, 2023

ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast.

Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Linear Aggregation in Tree-Based Estimators.

Sören R. Künzel, Theo Saarinen, Edward W. Liu, Jasjeet S. Sekhon

J. Comput. Graph. Stat., July, 2022

2019

Hybridized Threshold Clustering for Massive Data.

Jianmei Luo, ChandraVyas Annakula, Aruna Sai Kannamareddy, Jasjeet S. Sekhon, William Henry Hsu, Michael Higgins

CoRR, 2019

Shrinkage Estimators in Online Experiments.

Drew Dimmery, Eytan Bakshy, Jasjeet S. Sekhon

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Transfer Learning for Estimating Causal Effects using Neural Networks.

Sören R. Künzel, Bradly C. Stadie, Nikita Vemuri, Varsha Ramakrishnan, Jasjeet S. Sekhon, Pieter Abbeel

CoRR, 2018