SOLAR: Scalable Optimization of Large-scale Architecture for Reasoning

Large Language Models (LLMs) excel in reasoning but remain constrained by their Chain-of-Thought (CoT) approach, which struggles with complex tasks requiring more nuanced topological reasoning. We introduce SOLAR, Scalable Optimization of Large-scale Architecture for Reasoning, a framework that dynamically optimizes various reasoning topologies to enhance accuracy and efficiency.

@article{li2025_2503.04530,
  title={ SOLAR: Scalable Optimization of Large-scale Architecture for Reasoning },
  author={ Chen Li and Yinyi Luo and Anudeep Bolimera and Uzair Ahmed and Shri Kiran Srinivasan and Hrishikesh Gokhale and Marios Savvides },
  journal={arXiv preprint arXiv:2503.04530},
  year={ 2025 }
}