Results 151 to 160 of about 10,871,908 (293)

A Modified Method of Latent Class Analysis for File Organization in Information Retrieval [PDF]

, 1965
William K. Winters
openalex   +1 more source

A survey of languages and systems for information retrieval [PDF]

, 1962
Mandalay Grems
openalex   +1 more source

IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios [PDF]

arXiv
In Retrieval-Augmented Generation (RAG) tasks using Large Language Models (LLMs), the quality of retrieved information is critical to the final output. This paper introduces the IRSC benchmark for evaluating the performance of embedding models in multilingual RAG tasks.
arxiv  

Learning to rank for information retrieval

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Tie-Yan Liu
semanticscholar   +1 more source

BIR: Biomedical Information Retrieval System for Cancer Treatment in Electronic Health Record Using Transformers. [PDF]

Sensors (Basel), 2023
Ahmad PN, Liu Y, Khan K, Jiang T, Burhan U.   +4 more
europepmc   +1 more source

Information Retrieval

Journal of the Forensic Science Society, 1970
openaire   +4 more sources

Overreliance on inefficient computer-mediated information retrieval is countermanded by strategy advice that promotes memory-mediated retrieval. [PDF]

Cogn Res Princ Implic, 2023
Weis PP, Kunde W.
europepmc   +1 more source

Automation and Information Retrieval in Archives—the Broad Concepts [PDF]

, 1967
R. D. Campbell
openalex   +1 more source

Redefining Information Retrieval of Structured Database via Large Language Models [PDF]

arXiv
Retrieval augmentation is critical when Language Models (LMs) exploit non-parametric knowledge related to the query through external knowledge bases before reasoning. The retrieved information is incorporated into LMs as context alongside the query, enhancing the reliability of responses towards factual questions.
arxiv  

Position-context additive transformer-based model for classifying text data on social media

Scientific Reports
In recent years, the continuous increase in the growth of text data on social media has been a major reason to rely on the pre-training method to develop new text classification models specially transformer-based models that have proven worthwhile in ...
M. M. Abd-Elaziz, Nora El-Rashidy, Ahmed Abou Elfetouh, Hazem M. El-Bakry   +3 more
doaj   +1 more source