Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024) 2024
DOI: 10.1117/12.3034882
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Chinese fable generation based on large scale pretrained language models

Rong Jing,
Fucheng Wan

Abstract: Story generation is an important part of natural language processing, text generation tasks have received extensive attention from scholars in recent years. Existing methods are difficult to generate complete, logically fluent texts with low repetition rate based on a given outline vocabulary. To solve this problem, based on the dataset generated from outline conditional stories, we use the latest GLM model and instruct-tuning to generate Chinese fables and compare it with other big model fine-tuning with diff… Show more

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