Results 221 to 230 of about 16,728 (252)

Evaluation of a Retrieval-Augmented Generation Chatbot for Antimicrobial Resistance Research: Comparative Analysis of Large Language Models. [PDF]

JMIR AI
Escudero-Arnanz O, Valero-Méndez ME, Sánchez-Ramos N, Soguero-Ruíz C.   +3 more
europepmc   +1 more source

Improving Retrieval Augmented Generation for Health Care by Fine-Tuning Clinical Embedding Models: Development and Evaluation Study. [PDF]

J Med Internet Res
Arzideh K, Schäfer H, Idrissi-Yaghir A, Schmidt CS, Eryilmaz B, Bahn M, Turki AT, Pollok OB, Hartmann EM, Winnekens P, Borys K, Haubold J, Nensa F, Hosch R.   +13 more
europepmc   +1 more source

Retrieval Augmented Generation (RAG) for Evaluating Regulatory Compliance of Drug Information and Clinical Trial Protocols. [PDF]

CPT Pharmacometrics Syst Pharmacol
Waikar S, Bhat AG, Ramanathan M.
europepmc   +1 more source

Multi-Evidence Clinical Reasoning With Retrieval-Augmented Generation for Emergency Triage: Retrospective Evaluation Study. [PDF]

JMIR Med Inform
Wong HS, Wong TK.
europepmc   +1 more source

Target-aware molecule SMILES generation using a large language model with retrieval-augmented generation, multi-turn memory, and a predictive model. [PDF]

J Comput Aided Mol Des
Karabowicz P, Charkiewicz R, Charkiewicz A, Nikliński J.   +3 more
europepmc   +1 more source

A dual-mode large language model assistant for on-surface reactions <i>via</i> fine-tuning and retrieval-augmented generation. [PDF]

Chem Sci
Xiang J, Huang Q, Zhang X, Yang T, Zhu Z, Li C, Cai L, Sun Q.   +7 more
europepmc   +1 more source

Retrieval-Augmented Generation (RAG)

Business and Information Systems Engineering
Michael Klesel
exaly   +4 more sources

Graph Retrieval-Augmented Generation: A Survey

ACM Transactions on Information Systems
Recently, Retrieval-Augmented Generation (RAG) has achieved remarkable success in addressing the challenges of Large Language Models (LLMs) without necessitating retraining. By referencing an external knowledge base, RAG refines LLM outputs, effectively mitigating issues such as “hallucination,” lack of domain-specific knowledge ...
Siliang Tang, Yongchao Liu, Haizhou Shi
exaly   +4 more sources

Exploring Retrieval Augmented Generation in Arabic

Procedia Computer Science
Recently, Retrieval Augmented Generation (RAG) has emerged as a powerful technique in natural language processing, combining the strengths of retrieval-based and generation-based models to enhance text generation tasks. However, the application of RAG in Arabic, a language with unique characteristics and resource constraints, remains underexplored ...
Samhaa R. El-Beltagy, Mohamed Abdallah Ahmed   +1 more
exaly   +3 more sources