Jay Baxter

According to our database, Jay Baxter authored at least 6 papers between 2015 and 2025.

Collaborative distances:

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

2025

Scaling Human Judgment in Community Notes with LLMs.

Haiwen Li, Soham De, Manon Revel, Andreas Haupt, Brad Miller, Keith Coleman, Jay Baxter, Martin Saveski, Michiel A. Bakker

CoRR, June, 2025

Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking.

Soham De, Michiel A. Bakker, Jay Baxter, Martin Saveski

Proceedings of the ACM on Web Conference 2025, 2025

2022

Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation.

Stefan Wojcik, Sophie Hilgard, Nick Judd, Delia Mocanu, Stephen Ragain, M. B. Fallin Hunzaker, Keith Coleman, Jay Baxter

CoRR, 2022

2021

Lessons Learned Addressing Dataset Bias in Model-Based Candidate Generation at Twitter.

Alim Virani, Jay Baxter, Dan Shiebler, Philip Gautier, Shivam Verma, Yan Xia, Apoorv Sharma, Sumit Binnani, Linlin Chen, Chenguang Yu

CoRR, 2021

2018

Fighting Redundancy and Model Decay with Embeddings.

Dan Shiebler, Luca Belli, Jay Baxter, Hanchen Xiong, Abhishek Tayal

CoRR, 2018

2015

BayesDB: A probabilistic programming system for querying the probable implications of data.

Vikash Mansinghka, Richard Tibbetts, Jay Baxter, Patrick Shafto, Baxter Eaves

CoRR, 2015