A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics

Опубликована: Янв. 1, 2024

Язык: Английский

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A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics

Information Fusion, Год журнала: 2025, Номер unknown, С. 102963 - 102963

Опубликована: Янв. 1, 2025

Язык: Английский

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A survey on semantic processing techniques

Information Fusion, Год журнала: 2023, Номер 101, С. 101988 - 101988

Опубликована: Сен. 1, 2023

Язык: Английский

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CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension

ACM Transactions on Intelligent Systems and Technology, Год журнала: 2024, Номер 15(4), С. 1 - 24

Опубликована: Апрель 17, 2024

The task of machine reading comprehension (MRC) is to enable read and understand a piece text then answer the corresponding question correctly. This requires not only be able perform semantic understanding but also possess logical reasoning capabilities. Just like human reading, it involves thinking about from two interacting perspectives semantics logic. However, previous methods based on either consider structure or cannot simultaneously balance reasoning. single form make fully meaning text. Additionally, issue sparsity in composition presents significant challenge for models that rely graph-based To this end, cross-graph knowledge propagation network (CGKPN) with adaptive connection presented address above issues. model first performs self-view node embedding constructed graph update representations graphs. Specifically, relevance matrix between nodes introduced adaptively adjust connections response posed by sparse graph. Subsequently, CGKPN conducts are identical both graphs, effectively resolving conflicts arising different views, enabling better integrate relationships through efficient interaction. Experiments MRC datasets ReClor LogiQA indicate superior performance our proposed compared other existing baselines.

Язык: Английский

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Hybrid large language model approach for prompt and sensitive defect management: A comparative analysis of hybrid, non-hybrid, and GraphRAG approaches

Advanced Engineering Informatics, Год журнала: 2025, Номер 64, С. 103076 - 103076

Опубликована: Янв. 5, 2025

Язык: Английский

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PROMISE: A pre-trained knowledge-infused multimodal representation learning framework for medication recommendation

Information Processing & Management, Год журнала: 2024, Номер 61(4), С. 103758 - 103758

Опубликована: Апрель 27, 2024

Язык: Английский

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Improving inference via rich path information and logic rules for document-level relation extraction

Knowledge and Information Systems, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

Язык: Английский

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Metacognitive symbolic distillation framework for multi-choice machine reading comprehension

Knowledge-Based Systems, Год журнала: 2025, Номер unknown, С. 113130 - 113130

Опубликована: Фев. 1, 2025

Язык: Английский

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Self-explanatory and Retrieval-augmented LLMs for Financial Sentiment Analysis

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, Год журнала: 2025, Номер unknown, С. 131 - 137

Опубликована: Март 31, 2025

Язык: Английский

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ReCoMIF: Reading comprehension based multi-source information fusion network for Chinese spoken language understanding

Information Fusion, Год журнала: 2023, Номер 96, С. 192 - 201

Опубликована: Март 29, 2023

Язык: Английский

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