When Reasoning Supervision Hurts: TTCW-Based Long-Form Literary Review Generation
The study created a large dataset of long stories with structured scores to evaluate literary reviews using 14 creativity dimensions (TTCW). It found that fine-tuning models without reasoning traces performed better and more stably than those with them. Reasoning supervision often caused parsing failures, leading to irrelevant text instead of completing the required structured review.