title: DeepSolution: Boosting Complex Engineering Solution Design via
    Tree-based Exploration and Bi-point Thinking
summary: 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.
paper_authors._id: 67c514aba3d873e41624a082
paper_authors.name: Zhuoqun Li
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paper_authors.fullname: Li Zhuoqun
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paper_authors.name: Haiyang Yu
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paper_authors.fullname: Haiyang Yu
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paper_authors.user: yhycai
paper_authors._id: 67c514aba3d873e41624a084
paper_authors.name: Xuanang Chen
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paper_authors.fullname: Xuanang Chen
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paper_authors.name: Hongyu Lin
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paper_authors.fullname: Hongyu  Lin
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paper_authors.user: sanmusunrise
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paper_authors.name: Yaojie Lu
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paper_authors.fullname: Yaojie Lu
paper_authors.type: user
paper_authors.user: luyaojie
paper_authors._id: 67c514aba3d873e41624a087
paper_authors.name: Fei Huang
paper_authors._id: 67c514aba3d873e41624a088
paper_authors.name: Xianpei Han
paper_authors.status: admin_assigned
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paper_authors.fullname: Xianpei Han
paper_authors.type: user
paper_authors.user: xphan
paper_authors._id: 67c514aba3d873e41624a089
paper_authors.name: Yongbin Li
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2025-03-03T09:29:57.561Z
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paper_authors.fullname: Yongbin Li
paper_authors.type: user
paper_authors.user: Yongbin-Li
paper_authors._id: 67c514aba3d873e41624a08a
paper_authors.name: Le Sun
paper_title: DeepSolution: Boosting Complex Engineering Solution Design via
    Tree-based Exploration and Bi-point Thinking
paper_summary: 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.
paper_ai_summary: SolutionRAG leverages tree-based exploration and bi-point thinking to achieve state-of-the-art performance on SolutionBench, a benchmark for generating complete and feasible engineering solutions.
paper_ai_keywords: retrieval-augmented generation RAG SolutionBench SolutionRAG tree-based exploration bi-point thinking