Results 61 to 70 of about 14,626 (158)

Semantic Tokens in Retrieval Augmented Generation

CoRR
Retrieval-Augmented Generation (RAG) architectures have recently garnered significant attention for their ability to improve truth grounding and coherence in natural language processing tasks. However, the reliability of RAG systems in producing accurate answers diminishes as the volume of data they access increases.
openaire   +2 more sources

GraphRAG-Enabled Local Large Language Model for Gestational Diabetes Mellitus: Development of a Proof-of-Concept

JMIR Diabetes
BackgroundGestational diabetes mellitus (GDM) is a prevalent chronic condition that affects maternal and fetal health outcomes worldwide, increasingly in underserved populations.
Edmund Evangelista, Fathima Ruba, Salman Bukhari, Amril Nazir, Ravishankar Sharma   +4 more
doaj   +1 more source

Provably Secure Retrieval-Augmented Generation

CoRR
Although Retrieval-Augmented Generation (RAG) systems have been widely applied, the privacy and security risks they face, such as data leakage and data poisoning, have not been systematically addressed yet. Existing defense strategies primarily rely on heuristic filtering or enhancing retriever robustness, which suffer from limited interpretability ...
Pengcheng Zhou, Yinglun Feng, Zhongliang Yang   +2 more
openaire   +2 more sources

A Comparative Evaluation of RAG Architectures for Cross-Domain LLM Applications: Design, Implementation, and Assessment

IEEE Access
Retrieval-Augmented Generation (RAG) pairs large language models with external search to constrain knowledge staleness and hallucination, a critical need in finance and e-commerce where numerical precision and regulatory auditability are non-negotiable ...
Pinar Ersoy, Mustafa Ersahin
doaj   +1 more source

Retrieval-Augmented Text-to-Audio Generation

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Accepted by ICASSP ...
Yuan, Yi, Liu, Haohe, Liu, Xubo, Huang, Qiushi, Plumbley, Mark D, Wang, Wenwu   +5 more
openaire   +3 more sources

Helpful or Harmful? Re-Evaluating Frugality in Retrieval-Augmented Generation for Medical Question Answering

Machine Learning and Knowledge Extraction
Medical question answering (QA) systems and conversational agents have attracted growing interest as tools that can assist clinicians, support medical students, and help patients navigate complex information sources.
Richard Coric, Ebenezer F. Oloyede, Heriberto Cuayáhuitl   +2 more
doaj   +1 more source

Clustered Retrieved Augmented Generation (CRAG)

CoRR
Providing external knowledge to Large Language Models (LLMs) is a key point for using these models in real-world applications for several reasons, such as incorporating up-to-date content in a real-time manner, providing access to domain-specific knowledge, and contributing to hallucination prevention.
Simon Akesson, Frances Albert Santos
openaire   +2 more sources

Development of a Retrieval-Augmented Generation (RAG) Chatbot [PDF]

Ovidius University Annals: Economic Sciences Series
Our research presents a Retrieval-Augmented Generation (RAG) chatbot designed for intelligent document-based question answering. Built with Streamlit as the front-end, the application integrates LLaMA2 models hosted on Replicate, alongside a document ...
Simona-Vasilica Oprea , Adela Bâra
doaj  

An Agent-Based RAG Architecture for Intelligent Tourism Assistance: The Valencia Case Study

Tourism and Hospitality
The contemporary digital landscape overwhelms visitors with fragmented and dynamic information, complicating travel planning and often leading to decision paralysis.
Andrea Bonetti, Adrián Salcedo-Puche, Joan Vila-Francés, Xaro Benavent-Garcia, Emilio Fernández-Vargas, Rafael Magdalena-Benedito, Emilio Soria-Olivas   +6 more
doaj   +1 more source

Retrieval Augmented Comic Image Generation

CoRR
We present RaCig, a novel system for generating comic-style image sequences with consistent characters and expressive gestures. RaCig addresses two key challenges: (1) maintaining character identity and costume consistency across frames, and (2) producing diverse and vivid character gestures.
Yunhao Shui, Xuekuan Wang, Feng Qiu, Yuqiu Huang, Jinzhu Li, Haoyu Zheng, Jinru Han, Zhuo Zeng, Pengpeng Zhang, Jiarui Han, Keqiang Sun   +10 more
openaire   +2 more sources