arXiv AI
Jun 24
AI Fiction in the Wild
arXiv:2606. 22748v2 Announce Type: replace-cross Abstract: Some professional authors are beginning to use AI tools to help produce their fiction writing.
The AI Fiction Paradox
arXiv:2603. 13545v2 Announce Type: replace Abstract: AI development has a fiction dependency problem.
Related stories
arXiv AI
Jul 24
The Storyteller in the Model: Narrative Pattern Inheritance, Escalation Dynamics, and Alignment Governance in LLMs
arXiv:2607. 20449v1 Announce Type: cross Abstract: LLMs are trained predominantly on human-authored text, yet the structural and narrative conventions embedded in that text are rarely examined as a source of systematic behavioral influence, or as a governance risk in deployed systems.
arXiv AI
Aug 14
Novels generated by language models show compressed formal variation
arXiv:2608. 12630v1 Announce Type: cross Abstract: While large language models can generate entire novels, there is little information about the level of formal variation in their output over many generations.
arXiv AI
Jun 30
Towards Human-Level Book-Writing Capability
arXiv:2605. 17064v2 Announce Type: replace Abstract: Large language models are optimized for instruction following and agentic tasks remain poorly aligned with the requirements of high-quality creative writing.
arXiv AI
Jul 22
FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling
arXiv:2607. 19038v1 Announce Type: cross Abstract: Translating novels into films poses a grand challenge for generative artificial intelligence, requiring conversion of abstract literary prose into long-form, multi-scene visual narratives.
arXiv Computation and Language
Sep 14
The House with a Million Windows: Interactive Fiction for Narrative Restorying
The House with a Million Windows (HWAMW) is an LLM-based interactive fiction system that lets users narrate a story and then view it through a series of AI-generated "windows" that reframe the narrative in various literary styles. The system is grounded in the psychological restorying intervention, aiming to deepen users' exploration of meaning in their personal stories. Empirical results indicate that HWAMW enhances users' sense of narrative identity, and expert reviews suggest it achieves this by facilitating restorying rather than simply generating new content.
arXiv Computation and Language
Sep 3
How LLMs Build Fictional Worlds: Setting and Narrative Space in AI-Generated Creative Storytelling
The paper investigates how Large Language Models (LLMs) construct fictional worlds, specifically examining setting as a measurable aspect of storyworld creation. By generating 1,000 AI stories per model in English and German and comparing them to human-authored fiction from Project Gutenberg, the authors classify narrative space into five categories—action, perceived, visual, descriptive, and no space—using fine‑tuned BERT classifiers. Results show that human texts mainly use action space, grounding narratives in character-environment interaction, while LLMs consistently overproduce perceived space, focusing on atmosphere and affect, with this pattern varying by model and language.
arXiv AI
Aug 19
Attention Flows: Tracing LLM Conceptual Engagement via Story Summaries
The paper investigates how large language models (LLMs) engage with long-form narratives by comparing their generated novel summaries to human-authored ones. Researchers align sentences from 150 human-written summaries to specific chapters, highlighting the challenge of this alignment task and the complexity of summarization. They find stylistic differences and that LLMs tend to focus more on the ends of texts, suggesting insights into why models may struggle with narrative comprehension.
arXiv Computation and Language
3d ago
Evaluating Whether LLMs Can Reliably Connect the DOTs?
arXiv:2609.38406v1 Announce Type: new Abstract: Access to real-world information is often noisy and fragmented. Constructing a coherent narrative from such fragments requires models to reconstruct mi...
arXiv Machine Learning
Jun 16
Creative Collision: Directorial Persona Steering and Competition in Large Language Models
arXiv:2606. 16240v1 Announce Type: cross Abstract: Activation steering has emerged as a powerful tool for shaping the behaviour of large language models at inference time, yet most prior work injects a \emph{single} semantic direction into the residual stream.
arXiv Computation and Language
Aug 21
Language Has Two Parameters: Narrative-Induced Semantic Plasticity and Phase-Sensitive Interpretation
arXiv:2608. 18041v2 Announce Type: replace Abstract: Reading fiction or encountering narrative generally does not merely add information.
Hugging Face Trending Papers
Jul 23
Artificial Epanorthosis: Why large language models overuse a classical rhetorical figure, and how to mitigate it
A rhetorical figure that Cicero and Quintilian catalogued two thousand years ago reappears, systematically, in the text of large language models: epanorthosis, the self-correction of the specimen «This is not a course. It is a journey of transformation».