Abstract Summary
For eight years, Text2Story has gathered researchers on narrative understanding, detecting, representing, and reasoning over stories in text. Recent progress and discussions have been driven by Transformers and Large Language Models (LLMs), which are increasingly central to the field and have reshaped approaches to narrative extraction and interpretation. Despite rapid progress, challenges persist in fine-grained narrative structure, dialogue and multimodal narratives, robustness to domain shift, and evaluation beyond surface accuracy. The next edition of the workshop will spotlight the growing convergence of Information Retrieval (IR) with Transformers/LLMs and agentic AI. By centering these IR-aligned problems, Text2Story aims to advance both fundamental insights and practical applications in narrative search, understanding, and generation.
