Results 41 to 50 of about 3,238,639 (146)

MGPRAG: Enhancing Medical Large Language Models via Precision Retrieval-Augmented Generation

IEEE Access
Large language models(LLMs) have demonstrated strong performance in general tasks, but remain insufficiently trusted in complex clinical question answering (CQA). This is largely due to concerns about the accuracy of the generated content.
Yanwen Shen, Dahong Xu, Xi Li, Lei Fu, Hong Liu   +4 more
doaj   +1 more source

LIGHTWEIGHT RETRIEVAL AUGMENTED GENERATION (RAG) EVALUATION PIPELINE [PDF]

Retrieval Augmented Generation (RAG) pipelines reduce the frequency of Large Language Model (LLM) hallucinations by grounding the LLM context in knowledge base documents.
Kroll, Margaret, Kraus, Kelsey
core   +1 more source

Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation [PDF]

Retrieval-Augmented Generation (RAG) systems enhance the performance of Large Language Models (LLMs) by incorporating external information fetched from a retriever component.
Campagnano, Cesare, Tonellotto, Nicola, Silvestri, Fabrizio, Siciliano, Federico, Trappolini, Giovanni, Filice, Simone, Maarek, Yoelle, Cuconasu, Florin   +7 more
core  

Role-Aware Agentic Retrieval-Augmented Generation for Urban Rail Transit Fault Management

AI
Urban rail transit systems require reliable decision-support methods to assist operators in handling complex fault events. Although large language models provide strong reasoning and knowledge integration capabilities, their open-ended generation may ...
Wei Zhang, Hui Fang, Jiajun Bu, Qiming Zhong, Yueyao Yu   +4 more
doaj   +1 more source

Meta-prompting Optimized Retrieval-augmented Generation [PDF]

Retrieval-augmented generation resorts to content retrieved from external sources in order to leverage the performance of large language models in downstream tasks. The excessive volume of retrieved content, the possible dispersion of its parts, or their
Rodrigues, João, Branco, António
core   +1 more source

MEGA-RAG: a retrieval-augmented generation framework with multi-evidence guided answer refinement for mitigating hallucinations of LLMs in public health

Frontiers in Public Health
IntroductionThe increasing adoption of large language models (LLMs) in public health has raised significant concerns about hallucinations-factually inaccurate or misleading outputs that can compromise clinical communication and policy decisions.MethodsWe
Shan Xu, Shan Xu, Zhaokun Yan, Chengxiao Dai, Chengxiao Dai, Fan Wu   +5 more
doaj   +1 more source

Fine grained reranking via caption bridging for knowledge augmented visual question answering

Scientific Reports
Retrieval-Augmented Generation (RAG) has emerged as a pivotal framework for knowledge-intensive reasoning by coupling external retrieval with generative capabilities.
JunZhe Feng, Tao Liu, Yuhang Wu, Zi-Neng Ng, Mohammadmahdi Ariannejad, Jian Ding Tan, Mohammad Arif Sobhan Bhuiyan, Chia Chao Kang   +7 more
doaj   +1 more source

Enhanced Retrieval-Augmented Generation Using Low-Rank Adaptation

Applied Sciences
Recent advancements in retrieval-augmented generation (RAG) have substantially enhanced the efficiency of information retrieval. However, traditional RAG-based systems still encounter challenges, such as high latency in output decision making, the ...
Yein Choi, Sungwoo Kim, Yipene Cedric Francois Bassole, Yunsick Sung   +3 more
doaj   +1 more source

Using Retrieval vs. Cache Augmented Generation for a Pok´emon Chatbot

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Cache Augmented Generation (CAG) can be an alternative to Retrieval Augmented Generation (RAG). There are differences between the two frameworks, but they work largely in the same way.
Cengiz Gunay, Jonathan Tran
doaj   +1 more source

Multimodal retrieval-augmented generation framework for machine translation

ETRI Journal
The development of multimodal machine translation (MMT) systems has attracted significant interest due to their potential to enhance translation accuracy with visual information.
Shijian Li
doaj   +1 more source