Enriching children’s stories with LLMs: Delivering multilingual data enrichment for children’s books at scale and across markets (2025.acl-industry)
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| Challenge: | Using large language models and human-in-the-loop quality control, we enrich multilingual e-book and audio book data and make our product catalog easier to navigate for children. |
| Approach: | They propose a user-centered, empirically guided approach to multilingual metadata enrichment for children’s books using large language models and human-in-the-loop quality control. |
| Outcome: | The proposed approach delivers high-quality labels and improves user experience in real-world production environments. |
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| Challenge: | Large Language Models (LLMs) provide a data-centric solution to alleviate limitations of real-world data with synthetic data generation. |
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A Survey on LLMs for Story Generation (2025.findings-emnlp)
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Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty
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