mlsanityData to 7 Oct 2026

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

arXiv 2502.20730 ↗First posted 28 Feb 2025cs.AI cs.CLcited by 9

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 18 of its 38 references that are in the map. First posted on arXiv 28 Feb 2025.

Builds on

18 of 38 references.

References · 18

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  2. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,686
  3. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 1,800
  4. 2020Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Stepscited by 1,259
  5. 2023Towards General Text Embeddings with Multi-stage Contrastive Learningcited by 705
  6. 2019ELI5: Long Form Question Answeringcited by 567
  7. 2024NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Modelscited by 466
  8. 2025Search-o1: Agentic Search-Enhanced Large Reasoning Modelscited by 423
  9. 2022ASQA: Factoid Questions Meet Long-Form Answerscited by 231
  10. 2022Unified Structure Generation for Universal Information Extractioncited by 220
  11. 2024Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAcited by 121
  12. 2023A Critical Evaluation of Evaluations for Long-form Question Answeringcited by 111
6 more
  1. 2024StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurizationcited by 70
  2. 2024Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answeringcited by 51
  3. 2024RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinementcited by 38
  4. 2024Long2RAG: Evaluating Long-Context & Long-Form Retrieval-Augmented Generation with Key Point Recallcited by 32
  5. 2024Cofca: A Step-Wise Counterfactual Multi-hop QA benchmarkcited by 26
  6. 2024On the Evaluation of Machine-Generated Reportscited by 23

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 7; 2026: 2.

9 papers.

  1. 2025Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Modelscited by 381
  2. 2025WebThinker: Empowering Large Reasoning Models with Deep Research Capabilitycited by 320
  3. 2025A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challengescited by 58
  4. 2025Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoningcited by 34
  5. 2025Synergizing RAG and Reasoning: A Systematic Reviewcited by 27
  6. 2025A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applicationscited by 21
  7. 2025PaperRegister: Boosting Flexible-grained Paper Search via Hierarchical Register Indexingcited by 1
  8. 2026PaperScope: A Multi-Modal Multi-Document Benchmark for Agentic Deep Research Across Massive Scientific Paperscited by 1
  9. 2026MetaphorVU: Towards Metaphorical Video Understandingcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling
  2. 2026GENAI WORKBENCH: AI-Assisted Analysis and Synthesis of Engineering Systems from Multimodal Engineering Data
  3. 2026FAB-Bench: A Framework for Adaptive RAG Benchmarking in Semiconductor Manufacturing
  4. 2025e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration
  5. 2025Large Language Models for Combinatorial Optimization of Design Structure Matrix
  6. 2025A Multidisciplinary Design and Optimization (MDO) Agent Driven by Large Language Models
  7. 2026Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization
  8. 2026JADE: Bridging the Strategic-Operational Gap in Dynamic Agentic RAG