Knowledge Tree
domain knowledge
Facts (13)
Sources
The construction and refined extraction techniques of knowledge ... nature.com Feb 10, 2026 3 facts
claimThe knowledge graph construction framework incorporates a collaborative mechanism with Large Language Models (LLMs), combining domain LLMs and deep learning technologies with few-shot learning and transfer learning to extract domain knowledge from unstructured data.
claimThe study 'The construction and refined extraction techniques of knowledge' proposes a hierarchical LoRA adaptation framework based on the hierarchical nature of domain knowledge, utilizing a structured low-rank parameter architecture as its core innovation.
claimRetrieval-Augmented Generation (RAG) is essential for grounding models in accurate, contextually relevant domain knowledge during information retrieval and synthesis.
Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 2 facts
referenceThe paper 'Knowledge solver: Teaching LLMs to search for domain knowledge from knowledge graphs' (arXiv:2309.03118) describes a method for teaching large language models to retrieve domain-specific knowledge from knowledge graphs.
referenceK-BERT (Liu et al., 2020) is a knowledge-based model that injects triples into sentences as domain knowledge and utilizes soft-position and visible matrix mechanisms to mitigate the impact of knowledge noise.
Construction of intelligent decision support systems through ... - Nature nature.com Oct 10, 2025 1 fact
claimThe proposed architecture combines generative models enhanced by external knowledge retrieval with structured, linked representations of domain knowledge to improve decision accuracy, reasoning transparency, and context relevance.
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 1 fact
claimReasoning for learning systems position symbolic systems as scaffolds for neural learning by encoding domain knowledge through logical constraints, rules, or auxiliary supervision.
Applying Large Language Models in Knowledge Graph-based ... arxiv.org Jan 7, 2025 1 fact
claimFormal knowledge bases containing domain knowledge are utilized for the generation and annotation of business process models.
Building Better Agentic Systems with Neuro-Symbolic AI cutter.com Dec 10, 2025 1 fact
claimSymbolic AI systems offer strengths including precision through strict logic and constraints, tailorable expertise via explicit rules and domain knowledge, explainability through traceable decision-making rules, and reliability because they do not hallucinate due to their reliance on explicitly defined rules.
Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org Feb 16, 2025 1 fact
claimNeural networks often struggle with interpretability, while symbolic AI systems are rigid and require extensive domain knowledge.
Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Apr 3, 2023 1 fact
claimRecommender systems, question-answering systems, and information retrieval tools benefit from utilizing knowledge graphs because these graphs offer high-quality representations of domain knowledge.
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 1 fact
claimKnowledge graph quality can be improved by enriching domain knowledge through loading specific entity information from external, open-accessible knowledge bases, rather than integrating entire external data collections.
Open source software best practices and supply chain risk ... - GOV.UK gov.uk Mar 3, 2025 1 fact
claimThe innate understanding of software features and desired behavior possessed by open source developers mitigates the challenge of lacking domain knowledge in large software projects.