From Pixels to Policies: Reinforcing Spatial Reasoning in Language Models for Content-Aware Layout Design (2026.acl-industry)
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| Challenge: | LaySPA equips large language models (LLMs) with explicit and interpretable spatial reasoning for content-aware graphic layout design. |
| Approach: | They propose a reinforcement learning framework that equips large language models (LLMs) with explicit spatial reasoning for content-aware graphic layout design. |
| Outcome: | Experiments show that LaySPA outperforms larger LLMs in structural validity and visual quality while requiring fewer annotated samples. |
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