Article

A Context-Aware Reinforcement Learning Framework for Adaptive Multimodal Prompt Optimization

2026-05-12

Abstract excerpt

<title>Abstract</title> <p>Prompt engineering plays a crucial role in enhancing the efficacy of generative AI systems; however, current solutions are often designed manually and are inflexible. This paper presents a Context-Aware Prompt Optimizer (CAPO), a comprehensive model that unifies contextual memory, reinforcement learning, and multimodal processing capabilities for the purpose of optimizing prompts in an...

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Literature Corpus work: 5bf84459-90c4-5746-8461-baf5d06a4062
DOI: 10.21203/rs.3.rs-9637361/v1

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