Results 161 to 170 of about 10,871,908 (293)

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation [PDF]

open access: yesarXiv
Iterative retrieval-augmented generation (iRAG) models offer an effective approach for multi-hop question answering (QA). However, their retrieval process faces two key challenges: (1) it can be disrupted by irrelevant documents or factually inaccurate chain-of-thoughts; (2) their retrievers are not designed to dynamically adapt to the evolving ...
arxiv  

Rainbow: reliable personally identifiable information retrieval across multi-cloud. [PDF]

open access: yesCybersecur (Singap), 2023
Song Z, Ma H, Sun S, Xin Y, Zhang R.
europepmc   +1 more source

FAIR-QR: Enhancing Fairness-aware Information Retrieval through Query Refinement [PDF]

open access: yesECIR 2025, Part IV, LNCS 15575
Information retrieval systems such as open web search and recommendation systems are ubiquitous and significantly impact how people receive and consume online information. Previous research has shown the importance of fairness in information retrieval systems to combat the issue of echo chambers and mitigate the rich-get-richer effect.
arxiv  

Home - About - Disclaimer - Privacy