Knowledge Tree
datasets
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Facts (17)
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The construction and refined extraction techniques of knowledge ... nature.com Feb 10, 2026 4 facts
claimThe study 'The construction and refined extraction techniques of knowledge' anticipates that its dataset will improve tactical decision-making capabilities and operational efficiency in intelligent decision-support systems.
claimThe study 'The construction and refined extraction techniques of knowledge' asserts that its dataset systematizes knowledge through a structured data production process, providing a foundation for domain-specific artificial intelligence applications.
claimData sets generated during the study are available from the corresponding author upon reasonable request, though some data are subject to licensing restrictions and are not publicly available.
claimEffective deployment of Large Language Models (LLMs) in high-security domains requires datasets that are information-rich, highly reliable, structurally consistent, and capable of covering tasks such as tactical decision support, threat assessment, and domain-specific question answering.
On Hallucinations in Artificial Intelligence–Generated Content ... jnm.snmjournals.org 2 facts
referenceA study by Zhou et al. (46) demonstrated that a federated learning network trained on datasets from three institutions outperformed a network trained on a single institution dataset.
claimOptimizing data acquisition to produce high-quality, consistent datasets can help mitigate hallucinations caused by nondeterministic mappings, though this is difficult for modalities like SPECT and planar imaging due to the requirement for high-performance scanners and ultra-high-quality imaging protocols.
A Survey of Incorporating Psychological Theories in LLMs - arXiv arxiv.org 1 fact
claimCastricato et al. (2025) presented PERSONA, a dataset containing 1,586 synthetic personas for LLM agents.
Enterprise AI Requires the Fusion of LLM and Knowledge Graph linkedin.com Jan 2, 2025 1 fact
claimLarge language models (LLMs) excel at analyzing, summarizing, and reasoning across large datasets compared to human capabilities.
What is Open Source: Understanding Its Impact on Technology and ... algocademy.com 1 fact
claimIn the fields of data science and machine learning, open source tools enable researchers and developers to share datasets and models, collaborate on projects without barriers, and access cutting-edge tools without high costs.
The Role of Hallucinations in Large Language Models - CloudThat cloudthat.com Sep 1, 2025 1 fact
procedureFine-tuning models with guardrails involves training the model to refuse to answer when uncertain and including rejection examples in the dataset, such as 'I’m not sure about that. Let me check the source before answering.'
Combining large language models with enterprise knowledge graphs frontiersin.org Aug 26, 2024 1 fact
referenceThe paper 'Named entity recognition datasets: a classification framework' by Zhang and Xiao (2024) proposes a classification framework for datasets used in named entity recognition.
Why organisations must embrace the 'open source' paradigm blogs.lse.ac.uk Jan 5, 2024 1 fact
claimOrganizations can participate in the open-source paradigm by sharing all or part of the datasets used to build their algorithms without necessarily releasing the underlying source code.
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org 1 fact
procedureChecking a single fact across different datasets is a method to detect inaccurate facts in a knowledge graph.
Context Graph vs Knowledge Graph: Key Differences for AI - Atlan atlan.com Jan 27, 2026 1 fact
claimContext graphs treat time-travel queries as core operations, allowing users to query the state of a dataset at a specific point in time as a single traversal rather than a join against a separate temporal store.
Unknown source 1 fact
measurementThe authors of the paper "Evaluating Evaluation Metrics — The Mirage of Hallucination" evaluated hallucination detection metrics across 4 datasets.
Building Better Agentic Systems with Neuro-Symbolic AI cutter.com Dec 10, 2025 1 fact
claimNeural architectures excel at extracting patterns from high-dimensional inputs, such as datasets with a large number of features or attributes.
Does the combination of sustainable business model patterns lead ... link.springer.com Feb 20, 2023 1 fact
claimThe authors state that their research is theoretical and conceptual in nature and does not involve the analysis or generation of datasets.