用经典名言重构品牌口号,让广告语更创意又不失熟悉感
Recontextualizing Famous Quotes for Brand Slogan Generation
- 从名言中提取适合品牌调性的语句,重新组合生成口号
- 在多样性、新颖性和情感冲击力上优于现有大模型基线
- 适合需要创意但又保持品牌一致性的广告与营销团队
口号是简洁易记的宣传语,在广告中对传达品牌身份和塑造公众认知至关重要。然而广告疲劳降低了重复口号的效果,促使人们迫切需要新颖、有创意且富有洞察力的口号生成。尽管近期研究利用大语言模型(LLMs)尝试解决该问题,但现有方法常产生风格雷同、缺乏明确品牌人格且明显机械化的输出。本文认为有效口号应平衡新颖性与熟悉感,提出一种新范式:通过重置与品牌人格相关的经典名言来生成口号。著名名言天然契合口号长度,运用丰富修辞手法并蕴含深度思想,是创意生成的有力资源。技术上,我们设计了一个模块化框架,将口号生成分解为可解释的子任务:名言匹配、结构拆解、词汇替换与混搭生成。大量自动评估与人工评测表明,该方法在多样性、新颖性、情感影响和人类偏好方面均显著优于三个主流LLM基线。
原文摘要 · Abstract (English)
Slogans are concise and memorable catchphrases that play a crucial role in advertising by conveying brand identity and shaping public perception. However, advertising fatigue reduces the effectiveness of repeated slogans, creating a growing demand for novel, creative, and insightful slogan generation. While recent work leverages large language models (LLMs) for this task, existing approaches often produce stylistically redundant outputs that lack a clear brand persona and appear overtly machine-generated. We argue that effective slogans should balance novelty with familiarity and propose a new paradigm that recontextualizes persona-related famous quotes for slogan generation. Well-known quotes naturally align with slogan-length text, employ rich rhetorical devices, and offer depth and insight, making them a powerful resource for creative generation. Technically, we introduce a modular framework that decomposes slogan generation into interpretable subtasks, including quote matching, structural decomposition, vocabulary replacement, and remix generation. Extensive automatic and human evaluations demonstrate marginal improvements in diversity, novelty, emotional impact, and human preference over three state-of-the-art LLM baselines.
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