2 papers
cs.AI2026
Policy Iteration with Human Feedback: Bringing Post-Training RL to In-context Learning
Minh-Ha Nguyen, Cathy Shyr
Generative pretraining established reusable task representations; later work on language-based task conditioning and in-context learning showed that a fixed model could adapt its b…
cs.AI2026
Teaching agentic AI to generalize expert diagnostic reasoning in rare diseases
Minh-Ha Nguyen, Erica Gray, Bryce A. Schuler +16
Rare disease diagnosis depends on expert reasoning that is scarce and difficult to transfer. Large language models rank the correct disease first in only 35.4% of benchmark cases a…