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PushGen: Push Notifications Generation with LLM

About

We present PushGen, an automated framework for generating high-quality push notifications comparable to human-crafted content. With the rise of generative models, there is growing interest in leveraging LLMs for push content generation. Although LLMs make content generation straightforward and cost-effective, maintaining stylistic control and reliable quality assessment remains challenging, as both directly impact user engagement. To address these issues, PushGen combines two key components: (1) a controllable category prompt technique to guide LLM outputs toward desired styles, and (2) a reward model that ranks and selects generated candidates. Extensive offline and online experiments demonstrate its effectiveness, which has been deployed in large-scale industrial applications, serving hundreds of millions of users daily.

Shifu Bie, Jiangxia Cao, Zixiao Luo, Yichuan Zou, Lei Liang, Lu Zhang, Linxun Chen, Zhaojie Liu, Xuanping Li, Guorui Zhou, Kaiqiao Zhan, Kun Gai• 2025

Related benchmarks

TaskDatasetResultRank
Intelligent Notification CompositionPushGen Social Media
CTR14.08
1
Push Notification GenerationPush service (Overall User)
DAU (Dedup.)6.7
1
Push Notification GenerationPush service (Mid Active User)
DAU Change (Dedup.)0.196
1
Push Notification GenerationPush service (Low Active User)
DAU (Dedup.)0.176
1
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