Papers by Yotaro Shimose

2 papers
Mirror in the Model: Ad Banner Image Generation via Reflective Multi-LLM and Multi-modal Agents (2025.emnlp-industry)

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Challenge: Recent advances in generative modeling have greatly improved image synthesis quality.
Approach: They propose an agentic refinement framework for automatic ad banner generation that integrates a hierarchical multimodal agent system with a coordination loop.
Outcome: The proposed model outperforms existing models in real-world banner design scenarios.
BannerAgency: Advertising Banner Design with Multimodal LLM Agents (2025.emnlp-main)

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Challenge: Advertising banners are an instrumental medium in digital marketing campaigns.
Approach: They propose a training-free framework for fully automated banner ad design creation that enables frontier multimodal large language models to streamline the production of effective banners with minimal manual effort.
Outcome: The proposed framework is based on a training-free model that can be used to create fully automated banner ad design creations with minimal manual effort across diverse marketing contexts.

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