A block-inverse-prompting loop with revise and rewrite lets GLM-10B-Chinese produce traditional-form poems that human raters scored above GPT-4 and domain-specific systems.
Bits of Grass: Does GPT already know how to write like Whitman?
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abstract
This study examines the ability of GPT-3.5, GPT-3.5-turbo (ChatGPT) and GPT-4 models to generate poems in the style of specific authors using zero-shot and many-shot prompts (which use the maximum context length of 8192 tokens). We assess the performance of models that are not fine-tuned for generating poetry in the style of specific authors, via automated evaluation. Our findings indicate that without fine-tuning, even when provided with the maximum number of 17 poem examples (8192 tokens) in the prompt, these models do not generate poetry in the desired style.
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BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework
A block-inverse-prompting loop with revise and rewrite lets GLM-10B-Chinese produce traditional-form poems that human raters scored above GPT-4 and domain-specific systems.