Shawn O'Banion

16 papers A* 2B 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. AAAI Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie
2025	—	`conf`	User-LLM: Efficient LLM Contextualization with User Embeddings. WWW (Companion Volume) Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie
2024	J	`jnl`	Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study. npj Digit. Medicine Benjamin Rader, Neil K. R. Sehgal, Julie Michelman, Stefan Mellem, Marinanicole D. Schultheiss, Tom Hoddes, Jamie Macfarlane, Geoff Clark, Shawn O'Banion, Paul Eastham, Gaurav Tuli, James A. Taylor, John S. Brownstein
2024	J	`jnl`	CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data. CoRR Zhao Cheng, Diane Wan, Matthew Abueg, Sahra Ghalebikesabi, Ren Yi, Eugene Bagdasarian, Borja Balle, Stefan Mellem, Shawn O'Banion
2024	A*	`conf`	Massively Scalable Inverse Reinforcement Learning in Google Maps. ICLR Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
2024	J	`jnl`	RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. CoRR Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie
2024	J	`jnl`	User-LLM: Efficient LLM Contextualization with User Embeddings. CoRR Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie
2024	J	`jnl`	UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches. CoRR Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green
2023	J	`jnl`	Massively Scalable Inverse Reinforcement Learning in Google Maps. CoRR Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
2022	J	`jnl`	Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. CoRR Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo
2021	J	`jnl`	Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. npj Digit. Medicine Matthew Abueg, Robert Hinch, Neo Wu, Luyang Liu, William J. M. Probert, Austin Wu, Paul Eastham, Yusef Shafi, Matt Rosencrantz, Michael Dikovsky, Zhao Cheng, Anel Nurtay, Lucie Abeler-Dörner, David G. Bonsall, Michael V. McConnell, Shawn O'Banion, Christophe Fraser
2020	J	`jnl`	Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. CoRR Neo Wu, Bradley Green, Xue Ben, Shawn O'Banion
2020	J	`jnl`	Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks. CoRR Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion
2013	—	`conf`	Finding the local angle in national news. IUI Companion Shawn O'Banion, Larry Birnbaum, Scott Bradley
2013	B	`conf`	Using explicit linguistic expressions of preference in social media to predict voting behavior. ASONAM Shawn O'Banion, Larry Birnbaum
2012	—	`conf`	Social media-driven news personalization. RSWeb@RecSys Shawn O'Banion, Larry Birnbaum, Kristian J. Hammond