paper-with-me

Papers

FairyLandAI: Personalized Fairy Tales utilizing ChatGPT and DALLE-3

2024-07-12 · Georgios Makridis, Athanasios Oikonomou, Vasileios Koukos

In the diverse world of AI-driven storytelling, there is a unique opportunity to engage young audiences with customized, and personalized narratives. This paper introduces FairyLandAI an innovative Large Language Model (LLM) developed through OpenAI's API, specifically crafted to create personalized fairytales for children. The distinctive feature of FairyLandAI is its dual capability: it not only generates stories that are engaging, age-appropriate, and reflective of various traditions but also autonomously produces imaginative prompts suitable for advanced image generation tools like GenAI and Dalle-3, thereby enriching the storytelling experience. FairyLandAI is expertly tailored to resonate with the imaginative worlds of children, providing narratives that are both educational and entertaining and in alignment with the moral values inherent in different ages. Its unique strength lies in customizing stories to match individual children's preferences and cultural backgrounds, heralding a new era in personalized storytelling. Further, its integration with image generation technology offers a comprehensive narrative experience that stimulates both verbal and visual creativity. Empirical evaluations of FairyLandAI demonstrate its effectiveness in crafting captivating stories for children, which not only entertain but also embody the values and teachings of diverse traditions. This model serves as an invaluable tool for parents and educators, supporting them in imparting meaningful moral lessons through engaging narratives. FairyLandAI represents a pioneering step in using LLMs, particularly through OpenAI's API, for educational and cultural enrichment, making complex moral narratives accessible and enjoyable for young, imaginative minds.

📄 PDF Abstract BibTeX arXiv:2407.09467

Code (0)

등록된 구현이 없습니다.

Tasks

Image GenerationLanguage ModellingLarge Language Model

Similar Papers 제목 키워드 기반

From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales

2013-09-23 · Saif Mohammad

Today we have access to unprecedented amounts of literary texts. However, search still relies heavily on key words. In this paper, we show how sentiment analysis can be used in tandem with effective visualizations to qua…

Sentiment Analysis

Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts

2023-10-16 · Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang

Recent studies show that traditional fairytales are rife with harmful gender biases. To help mitigate these gender biases in fairytales, this work aims to assess learned biases of language models by evaluating their robu…

counterfactualData AugmentationQuestion AnsweringSensitivity

The FairyNet Corpus - Character Networks for German Fairy Tales

2021-11-01 · EMNLP (LaTeCHCLfL, CLFL, LaTeCH) 2021 11 · David Schmidt, Albin Zehe, Janne Lorenzen, Lisa Sergel 외

This paper presents a data set of German fairy tales, manually annotated with character networks which were obtained with high inter rater agreement. The release of this corpus provides an opportunity of training and com…

A French Fairy Tale Corpus syntactically and semantically annotated

2012-05-01 · LREC 2012 5 · Isma{\"\i}l El Maarouf, Jeanne Villaneau

Fairy tales, folktales and more generally children stories have lately attracted the Natural Language Processing (NLP) community. As such, very few corpora exist and linguistic resources are lacking. The work presented i…

Ontology MatchingRelation ExtractionText Classification

Sentiment Analysis of German Sign Language Fairy Tales

2026-04-17 · Fabrizio Nunnari, Siddhant Jain, Patrick Gebhard arxiv

We present a dataset and a model for sentiment analysis of German sign language (DGS) fairy tales. First, we perform sentiment analysis for three levels of valence (negative, neutral, positive) on German fairy tales text…

Sentiment Analysis