4 papers
Interpretability without actionability: mechanistic methods cannot correct language model errors despite near-perfect internal representations
Sanjay Basu, Sadiq Y. Patel, Parth Sheth +5
Language models encode task-relevant knowledge in internal representations that far exceeds their output performance, but whether mechanistic interpretability methods can bridge th…
Test-Time Learning and Inference-Time Deliberation for Efficiency-First Offline Reinforcement Learning in Care Coordination and Population Health Management
Sanjay Basu, Sadiq Y. Patel, Parth Sheth +4
Care coordination and population health management programs serve large Medicaid and safety-net populations and must be auditable, efficient, and adaptable. While clinical risk for…
Hybrid Adaptive Conformal Offline Reinforcement Learning for Fair Population Health Management
Sanjay Basu, Sadiq Y. Patel, Parth Sheth +4
Population health management programs for Medicaid populations coordinate longitudinal outreach and services (e.g., benefits navigation, behavioral health, social needs support, an…
Feasibility-Guided Fair Adaptive Offline Reinforcement Learning for Medicaid Care Management
Sanjay Basu, Sadiq Y. Patel, Parth Sheth +4
We introduce Feasibility-Guided Fair Adaptive Reinforcement Learning (FG-FARL), an offline RL procedure that calibrates per-group safety thresholds to reduce harm while equalizing…