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   Articles with "augmented generation" as a keyword



Human-robot interaction using retrieval-augmented generation and fine-tuning with transformer neural networks in industry 5.0

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-12742-9

Abstract: The integration of Artificial Intelligence (AI) in Human-Robot Interaction (HRI) has significantly improved automation in the modern manufacturing environments. This paper proposes a new framework of using Retrieval-Augmented Generation (RAG) together with fine-tuned Transformer Neural… read more here.

Keywords: human robot; retrieval augmented; robot interaction; augmented generation ... See more keywords

Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines

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recommendations! Published in 2025 at "Journal of the American Medical Informatics Association : JAMIA"

DOI: 10.1093/jamia/ocaf008

Abstract: Abstract Objective The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effectiveness. Materials and… read more here.

Keywords: retrieval augmented; meta; review; analysis ... See more keywords

Neural-Symbolic Dual-Indexing Architectures for Scalable Retrieval-Augmented Generation

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3638761

Abstract: Contemporary retrieval-augmented generation systems face a fundamental trade-off between semantic comprehensiveness and computational tractability when scaling to billion-token corpora. We present a unified framework that reconciles this tension through neural-symbolic dual-indexing, wherein sparse graph skeletons… read more here.

Keywords: retrieval augmented; retrieval; dual indexing; neural symbolic ... See more keywords

TeleOracle: Fine-Tuned Retrieval-Augmented Generation With Long-Context Support for Networks

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3553161

Abstract: The telecommunications industry’s rapid evolution demands intelligent systems capable of managing complex networks and adapting to emerging technologies. While large language models (LLMs) show promise in addressing these challenges, their deployment in telecom environments faces… read more here.

Keywords: retrieval augmented; retrieval; language; model ... See more keywords

LLM-Based Retrieval-Augmented Generation: A Novel Framework for Resource Optimization in 6G and Beyond Wireless Networks

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recommendations! Published in 2025 at "IEEE Communications Magazine"

DOI: 10.1109/mcom.001.2400774

Abstract: The increasing complexity of wireless networks, driven by diverse use cases and the evolution toward 6G, demands advanced resource optimization techniques for efficient and reliable communication. Traditional methods often struggle with adaptability and scalability in… read more here.

Keywords: resource; retrieval augmented; resource optimization; wireless networks ... See more keywords

Compute-Enabled CXL Memory Expansion for Efficient Retrieval Augmented Generation

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recommendations! Published in 2025 at "IEEE Micro"

DOI: 10.1109/mm.2025.3575280

Abstract: Conventional processing near-memory architectures often strike a tradeoff between memory capacity and memory bandwidth, leading to high initial data movement or high capital costs due to memory stranding. In this work, we introduce compute-enabled memory… read more here.

Keywords: memory expansion; retrieval; memory; retrieval augmented ... See more keywords

Retrieval-Augmented Generation for Large Language Models in Radiology: Another Leap Forward in Board Examination Performance.

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recommendations! Published in 2024 at "Radiology"

DOI: 10.1148/radiol.241489

Abstract: Supplemental material is available for this article. See also the editorial by Forghani in this issue. read more here.

Keywords: large language; retrieval augmented; generation large; language ... See more keywords

Assessing ChatGPT4 with and without retrieval-augmented generation in anticoagulation management for gastrointestinal procedures

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recommendations! Published in 2024 at "Annals of Gastroenterology"

DOI: 10.20524/aog.2024.0907

Abstract: Background In view of the growing complexity of managing anticoagulation for patients undergoing gastrointestinal (GI) procedures, this study evaluated ChatGPT-4’s ability to provide accurate medical guidance, comparing it with its prior artificial intelligence (AI) models… read more here.

Keywords: retrieval augmented; anticoagulation; augmented generation; chatgpt4 ... See more keywords

Using Retrieval-Augmented Generation to Capture Molecularly-Driven Treatment Relationships for Precision Oncology

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recommendations! Published in 2024 at "Studies in health technology and informatics"

DOI: 10.3233/shti240575

Abstract: Modern generative artificial intelligence techniques like retrieval-augmented generation (RAG) may be applied in support of precision oncology treatment discussions. Experts routinely review published literature for evidence and recommendations of treatments in a labor-intensive process. A… read more here.

Keywords: oncology; treatment; retrieval augmented; augmented generation ... See more keywords

Fine-Tuning Retrieval-Augmented Generation with an Auto-Regressive Language Model for Sentiment Analysis in Financial Reviews

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recommendations! Published in 2024 at "Applied Sciences"

DOI: 10.3390/app142310782

Abstract: Sentiment analysis is a well-known task that has been used to analyse customer feedback reviews and media headlines to detect the sentimental personality or polarisation of a given text. With the growth of social media… read more here.

Keywords: retrieval augmented; language model; language; model ... See more keywords

Leveraging Retrieval-Augmented Generation for Swahili Language Conversation Systems

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recommendations! Published in 2025 at "Applied Sciences"

DOI: 10.3390/app15020524

Abstract: A conversational system is an artificial intelligence application designed to interact with users in natural language, providing accurate and contextually relevant responses. Building such systems for low-resource languages like Swahili presents significant challenges due to… read more here.

Keywords: language; swahili; retrieval augmented; augmented generation ... See more keywords