Retrieval Augmented (Knowledge Graph), and Large Language Model-Driven Design Structure Matrix (DSM) Generation of Cyber-Physical Systems
cs.AI, cs.CL, cs.SY, eess.SY
Submitted: 2026-01-30
Updated: 2026-09-22
Code: https://github.com/bankh/xLM_DSM
Terminology
Sources
- An Approach for System Analysis with MBSE and Graph Data Engineering
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-V3 Technical Report
- GPT-4 Technical Report
- The Llama 3 Herd of Models
- Scaling Laws for Neural Language Models
- Language Models are Few-Shot Learners
- Augmenting LLMs with Knowledge: A survey on hallucination prevention
- When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
- Generalization through Memorization: Nearest Neighbor Language Models
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
- FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
- Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
- Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
- Exploring the Capabilities of Large Language Models for Generating Diverse Design Solutions
- DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
- DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
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