DisCIPL (Self-Steering LMs)

Jacob Andreas's group with Tenenbaum and Mansinghka (COLM 2025): a Planner LM writes a task-specific probabilistic inference program executed by parallel Follower LMs — small followers match GPT-4o and o1 on constrained generation. Inference-as-program-synthesis as an alternative to monolithic scaling.