Tag: Retrieval-Augmented Generation

A study of military training interviews found that machine learning models trained on synthetic deception data collapsed on real-world speech, ...

A new survey of 94 studies charts the rise of retrieval-augmented generation in biomedicine and identifies trade-offs among reasoning depth, ...

A new review maps how large language models are being trained on digitized classical texts, billions of clinical records, and ...

A systematic survey of 286 studies proposes a conceptual framework, TriModalFusion-LM, for text, audio and video retrieval across Indian languages, ...

A retrospective study of 292 joint replacement records found that DeepSeek-R1 with a guideline knowledge base significantly improved junior physicians' ...

Researchers built CN-PDS, an LLM-based search system that consolidates and enriches metadata from 148 of China's decentralized public data portals, ...

Researchers have built a MetaGPT-based multi-agent AI framework that combines mix-augmented generation with activation-aware weight quantization to deliver fast, accurate ...

A systematic evaluation of 198 Arabic retrieval-augmented generation configurations for Maliki Islamic jurisprudence found a best accuracy of 89.29% using ...

NIEHS researchers have developed Discourse2Draft, a model-agnostic AI application that converts a user query into a structured, citation-anchored draft using ...

A new CARE-Med framework combining dense retrieval, natural language inference verification, and confidence scoring cut unsupported-response rates in medical LLMs ...

A multimodal GraphRAG system tested on electrical-equipment data improved retrieval accuracy and evidence traceability by connecting text, images, structured records, ...

A diabetes question-answering prototype combines a structured medical knowledge graph, guideline retrieval and a large language model while exposing the ...

Researchers describe MyGPT, a fully open-source retrieval-augmented generation platform that runs locally or in secure environments and cites its sources ...

Researchers have built a modular AI framework that improves automated chest X-ray report generation by retrieving similar past cases at ...

Researchers at VIT University Chennai have built a multi-stage retrieval-augmented AI system that combines hybrid document search with large language ...

Researchers have built a temporal-aware retrieval-augmented generation framework that helps large language models generate safer, evidence-based treatment plans for idiopathic ...

A new vision-language model fuses MRI, diffusion imaging and clinical scores to classify Alzheimer's disease, works even when data is ...

A new survey in Artificial Intelligence Review maps the evolution of retrieval-augmented generation from simple retrieve-then-read pipelines to agentic systems, ...

Researchers propose grounded multimodal LLM interfaces as a safety-governed quality-control gate that filters noisy smartphone biosensor data before results reach ...

Researchers in Türkiye used small language models and retrieval-augmented web search to generate new features for tabular data classification, reaching ...