Yejin Choi

Yejin Choi, Stanford professor focused on reasoning, synthetic data, and AI alignment, discusses making small language models reason better. She covers synthetic data generation, imitation learning, reinforcement pretraining that encourages internal “thinking,” and Prismatic Synthesis for diverse math data. The conversation also tackles mode collapse, spectrum tuning to preserve diversity, and pluralistic alignment to reflect varied human values.