This paper defines six dimensions of notification message quality, surveys LLM improvements over templates with reported CTR gains of 8-14.5%, and introduces a decision framework for when LLM generation is the binding constraint.
org/doi/abs/10.1145/3600211.3604717
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A systematic review of T2I bias literature that distinguishes target and threshold fairness and proposes a target-based operationalization framework.
citing papers explorer
-
LLM-Based Intelligent Notification Composition: From Static Personalization to Context-Aware Persuasive Messaging
This paper defines six dimensions of notification message quality, surveys LLM improvements over templates with reported CTR gains of 8-14.5%, and introduces a decision framework for when LLM generation is the binding constraint.
-
Operationalizing Fairness in Text-to-Image Models: A Survey of Bias, Fairness Audits and Mitigation Strategies
A systematic review of T2I bias literature that distinguishes target and threshold fairness and proposes a target-based operationalization framework.