AIBullisharXiv – CS AI · Mar 126/10
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Resource-constrained Amazons chess decision framework integrating large language models and graph attention
Researchers developed a lightweight AI framework for the Game of the Amazons that combines graph attention networks with large language models, achieving 15-56% improvement in decision accuracy while using minimal computational resources. The hybrid approach demonstrates weak-to-strong generalization by leveraging GPT-4o-mini for synthetic training data and graph-based learning for structural reasoning.
🧠 GPT-4