{"slug": "storyspark-module-wise-evolutionary-search-for-story-premise-generation", "title": "StorySpark: Module-wise Evolutionary Search for Story Premise Generation", "summary": "Researchers introduced StorySpark, a module-wise evolutionary search framework for story premise generation that treats narrative modules as local search spaces, and evaluations show it produces stronger final premises than competitive baselines, with consistent gains in originality and higher-quality downstream stories.", "body_md": "arXiv:2608.12336v1 Announce Type: new\nAbstract: A story premise is the creative spark from which a full narrative can grow. Yet LLM-based story generation has mostly emphasized later-stage planning, controllability, coherence, and prose expansion, while premise-level ideation remains comparatively underexplored. We introduce StorySpark, a module-wise evolutionary search framework for story premise generation. StorySpark operates over interpretable narrative modules such as background, persona, event, ending, and twist, treating each active module not as a static field to fill once, but as a local search space conditioned on the partial premise built so far. For each module, it generates alternatives, evaluates them in context, refines them through feedback-driven mutation and recombination, preserves complementary strengths with Pareto-guided selection, and reallocates frontier capacity to balance branch coverage with promising directions. Multi-view automatic and human evaluations show that StorySpark produces stronger final premises than competitive baselines, with especially consistent gains in originality; when expanded with the same story writer, its premises also lead to higher-quality downstream stories while maintaining completeness, fascination, and diverse usable narrative directions.", "url": "https://wpnews.pro/news/storyspark-module-wise-evolutionary-search-for-story-premise-generation", "canonical_source": "https://arxiv.org/abs/2608.12336", "published_at": "2026-08-14 04:00:00+00:00", "updated_at": "2026-08-14 04:12:51.559140+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "generative-ai"], "entities": ["StorySpark"], "alternates": {"html": "https://wpnews.pro/news/storyspark-module-wise-evolutionary-search-for-story-premise-generation", "markdown": "https://wpnews.pro/news/storyspark-module-wise-evolutionary-search-for-story-premise-generation.md", "text": "https://wpnews.pro/news/storyspark-module-wise-evolutionary-search-for-story-premise-generation.txt", "jsonld": "https://wpnews.pro/news/storyspark-module-wise-evolutionary-search-for-story-premise-generation.jsonld"}}