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PubMed: Reducing Hallucinations with RAG

paper

Authors

Lukasz Pawlik·Stanislaw Deniziak

Credibility Rating

4/5
High(4)

High quality. Established institution or organization with editorial oversight and accountability.

Rating inherited from publication venue: PubMed Central

This journal article addresses hallucination reduction in large language models through Retrieval-Augmented Generation (RAG), a technique relevant to improving AI reliability and factual accuracy—critical concerns for AI safety and alignment.

Paper Details

Citations
0
Year
2026
Methodology
peer-reviewed
Categories
Applied Sciences

Metadata

journal articleprimary source

Cited by 1 page

Cached Content Preview

HTTP 200Fetched Mar 15, 202613 KB
Reducing Hallucinations and Trade-Offs in Responses in Generative AI Chatbots for Cancer Information: Development and Evaluation Study - PubMed 

 
 
 
 

 
 
 
 

 
 

 
 
 
 
 
 
 
 

 
 

 
 

 
 

 
 

 
 
 

 
 
 

 

 
 
 

 
 
 

 
 
 

 
 
 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

 
 
 

 
 

 
 
 
 

 

 

 
 
 

 
 
 

 

 
 
 

 
 
 
 
 

 

 

 
 
 

 
 

 
 
 
 
 
 
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Resource ID: e7ae9717cdb69808 | Stable ID: Nzg4NWY0MW