[HTML][HTML] Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive Overview
B Han, T Susnjak, A Mathrani - Applied Sciences, 2024 - mdpi.com
This study examines Retrieval-Augmented Generation (RAG) in large language models
(LLMs) and their significant application for undertaking systematic literature reviews (SLRs) …
(LLMs) and their significant application for undertaking systematic literature reviews (SLRs) …
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being
Sustainable Development Goals (SDGs) give the UN a road map for development with
Agenda 2030 as a target. SDG3" Good Health and Well-Being" ensures healthy lives and …
Agenda 2030 as a target. SDG3" Good Health and Well-Being" ensures healthy lives and …
KiL 2024: 4th International Workshop on Knowledge-infused Learning (Towards Consistent, Reliable, Explainable, and Safe LLMs)
The Knowledge-infused Learning Workshop is a recurring event in ACM's KDD Conference
that gathers the research community on knowledge graphs and knowledge-enabled …
that gathers the research community on knowledge graphs and knowledge-enabled …
Neurosymbolic AI approach to Attribution in Large Language Models
Attribution in large language models (LLMs) remains a significant challenge, particularly in
ensuring the factual accuracy and reliability of the generated outputs. Current methods for …
ensuring the factual accuracy and reliability of the generated outputs. Current methods for …
[PDF][PDF] Transforming Personal Health AI: Integrating Knowledge and Causal Graphs with Large Language Models
Large Language Models (LLMs) hold considerable promise for healthcare applications,
leveraging vast, diverse datasets to deliver insights across a broad range of tasks. However …
leveraging vast, diverse datasets to deliver insights across a broad range of tasks. However …