DeepSolution：透過基於樹狀結構的探索與雙點思維提升複雜工程方案設計

DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking

February 28, 2025

作者: Zhuoqun Li, Haiyang Yu, Xuanang Chen, Hongyu Lin, Yaojie Lu, Fei Huang, Xianpei Han, Yongbin Li, Le Sun

cs.AI

摘要

在人类生产活动中，设计应对复杂工程挑战的解决方案至关重要。然而，以往在检索增强生成（RAG）领域的研究尚未充分涉及复杂工程解决方案设计相关的任务。为填补这一空白，我们引入了一个新的基准测试——SolutionBench，用以评估系统在多重复杂约束下生成完整且可行工程解决方案的能力。为进一步推动复杂工程解决方案的设计，我们提出了一种新颖的系统——SolutionRAG，该系统利用基于树的探索机制和双点思维模式来生成可靠的解决方案。大量实验结果表明，SolutionRAG在SolutionBench上实现了最先进的（SOTA）性能，彰显了其在现实应用中提升复杂工程解决方案设计自动化与可靠性的潜力。

English

Designing solutions for complex engineering challenges is crucial in human production activities. However, previous research in the retrieval-augmented generation (RAG) field has not sufficiently addressed tasks related to the design of complex engineering solutions. To fill this gap, we introduce a new benchmark, SolutionBench, to evaluate a system's ability to generate complete and feasible solutions for engineering problems with multiple complex constraints. To further advance the design of complex engineering solutions, we propose a novel system, SolutionRAG, that leverages the tree-based exploration and bi-point thinking mechanism to generate reliable solutions. Extensive experimental results demonstrate that SolutionRAG achieves state-of-the-art (SOTA) performance on the SolutionBench, highlighting its potential to enhance the automation and reliability of complex engineering solution design in real-world applications.