Large Language Models ↔ knowledge

Relations (1)

related 0.30 — supporting 3 facts

Large Language Models are related to knowledge as they are the primary subjects of research regarding the verification, navigation, and retrieval of factual information, as evidenced by [1], [2], and [3].

Facts (3)

Sources

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv 1 fact

claimVerifying and updating knowledge within Large Language Models (LLMs) remains an open research topic.

Awesome-Hallucination-Detection-and-Mitigation - GitHub github.com GitHub 1 fact

referenceThe paper "Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity" by Wang et al. (2023) provides a survey on the state of factuality in large language models, covering aspects of knowledge, retrieval, and domain-specificity.

Grounding LLM Reasoning with Knowledge Graphs - arXiv arxiv.org arXiv 1 fact

claimExplicitly linking reasoning steps to graph structure offers a more interpretable view of how large language models navigate knowledge.