Hybrid world model slashes LLM hallucinations by 80% in multi-step planning
The paper introduces Grounded Iterative Language Planning (GILP), a hybrid that blends a tiny parameterized transition model with GPT-4o-mini reasoning. By letting the backbone flag implausible drafts, hallucinated-state rates fall from 17.6% to 3.5% and planning success climbs to 84%, with only modest extra API calls.