Explore the Future Earth with Wander 2.0: AI Chatbot Driven By Knowledge-base Story Generation and Text-to-image Model

Sun, Yuqian; Ying, Xu; Cheng, Chenhang; Li, Yihua; Lee, Chang Hee; Asadipour, Ali

doi:10.1145/3544549.3583931

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Story Generation1

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2024

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Cited by 9 publications

(1 citation statement)

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“…Recently, LLMs have been increasingly used to supplement creative writing efforts for entertainment and social media. Applications include work related to narrative generations (Sun et al, 2023;Simon and Muise, 2022;Razumovskaia et al, 2022;Xiang et al, 2018). Yuan et al (2022) tested Wordcraft, a tool created to assist writers with story generation using LLMs.…”

Section: Story Generationmentioning

confidence: 99%

Trustworthiness of Children Stories Generated by Large Language Models

Bhandari,

Brennan

2023

Proceedings of the 16th International Natural Language Generation Conference

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Large Language Models (LLMs) have shown a tremendous capacity for generating literary text. However, their effectiveness in generating children's stories has yet to be thoroughly examined. In this study, we evaluate the trustworthiness of children's stories generated by LLMs using various measures, and we compare and contrast our results with both old and new children's stories to better assess their significance. Our findings suggest that LLMs still struggle to generate children's stories at the level of quality and nuance found in actual stories. 1

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Section: Story Generationmentioning

confidence: 99%