Evaluating Safety of Large Language Models for Patient-facing Medical Question Answering. - Yella Diekmann; Chase Fensore; Rodrigo M. Carrillo-Larco; Nishant Pradhan; Bhavya Appana; Joyce C. Ho (ML4H@NeurIPS, 2024)

Large Language Models for Integrating Social Determinant of Health Data: A Case Study on Heart Failure 30-Day Readmission Prediction. - Chase Fensore; Rodrigo M. Carrillo-Larco; Shivani A. Patel; Alanna A. Morris; Joyce C. Ho (CoRR, 2024)

Feature Engineering for Agents: An Adaptive Cognitive Architecture for Interpretable ML Monitoring. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Rodrigo M. Carrillo-Larco; Ajay Dholakia; David Ellison (AAMAS, 2025)

Experience Replay and Zero-Shot Clustering for Continual Learning in Diabetic Retinopathy Detection. - Gusseppe Bravo Rocca; Peini Liu; Jordi Guitart; Ajay Dholakia; David Ellison; Rodrigo M. Carrillo-Larco (VISIGRAPP (2): VISAPP, 2025)