Investigating the "Wisdom of Crowds" at Scale. - Alok Shankar Mysore; Vikas S. Yaligar; Imanol Arrieta Ibarra; Camelia Simoiu; Sharad Goel; Ramesh Arvind; Chiraag Sumanth; Arvind Srikantan; Bhargav HS; Mayank Pahadia; Tushar Dobha; Atif Ahmed; et al. (UIST (Adjunct Volume), 2015)

Angrier Birds: Bayesian reinforcement learning. - Imanol Arrieta Ibarra; Bernardo Ramos; Lars Roemheld (CoRR, 2016)

Crowd Research: Open and Scalable University Laboratories. - Rajan Vaish; Snehalkumar (Neil) S. Gaikwad; Geza Kovacs; Andreas Veit; Ranjay Krishna; Imanol Arrieta Ibarra; Camelia Simoiu; Michael J. Wilber; Serge J. Belongie; Sharad Goel; James Davis 001; Michael S. Bernstein (UIST, 2017)

A Personalized BDM Mechanism for Efficient Market Intervention Experiments. - Imanol Arrieta Ibarra; Johan Ugander (EC, 2018)

Metrics of Calibration for Probabilistic Predictions. - Imanol Arrieta Ibarra; Paman Gujral; Jonathan Tannen; Mark Tygert; Cherie Xu (J. Mach. Learn. Res., 2022)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

Detecting Prefix Bias in LLM-based Reward Models. - Ashwin Kumar; Yuzi He; Aram H. Markosyan; Bobbie Chern; Imanol Arrieta Ibarra (FAccT, 2025)