POLARIS: Guiding Small Models to Write Long Stories
Researchers present POLARIS, a training method that enables smaller language models (9B parameters) to generate long-form creative stories comparable to much larger models. The approach combines LLM-based reward signals with human reference injection, demonstrating that efficient fine-tuning can close the gap between small and frontier models on complex creative tasks.