BayesDB: A probabilistic programming system for querying the probable implications of data. - Vikash Mansinghka 001; Richard Tibbetts; Jay Baxter; Patrick Shafto; Baxter Eaves (CoRR, 2015)

Fighting Redundancy and Model Decay with Embeddings. - Dan Shiebler; Luca Belli; Jay Baxter; Hanchen Xiong; Abhishek Tayal (CoRR, 2018)

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)

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)

Supernotes: Driving Consensus in Crowd-Sourced Fact-Checking. - Soham De; Michiel A. Bakker; Jay Baxter; Martin Saveski (WWW, 2025)

Scaling Human Judgment in Community Notes with LLMs. - Haiwen Li; Soham De; Manon Revel; Andreas Haupt; Brad Miller 003; Keith Coleman; Jay Baxter; Martin Saveski; Michiel A. Bakker (CoRR, 2025)