Information Retrieval and Search Behavior

GEO-BERT: A Retrieval augmented LLM Framework for Intelligent Dataset Retrieval from the Gene Expression Omnibus

GEO-BERT improves dataset retrieval from GEO by using a retrieval-augmented LLM framework with a hierarchical hybrid field-aware system, enhancing semantic search and traditional search performance.

DEEPGEOSEARCH: LLM-POWERED SCHEMALESS RETRIEVALFOR BIOMEDICAL DATA DISCOVERY

DeepGEOSearch improves biomedical dataset discovery by using an LLM-powered schema-less retrieval system that matches natural-language queries to datasets with high precision and recall.

Optimizing biomedical information retrieval with a keyword frequency-driven Prompt Enhancement Strategy

This paper enhances biomedical question-answering using a keyword frequency-driven prompt strategy to improve LLM responses and reduce hallucinations.

Developing a More Accurate Biomedical Literature Retrieval Method using Deep Learning and Citations in PubMed Central Full-text Articles

This study develops DeepSenSe, a deep learning method for sentence-based literature retrieval using PubMed Central data, showing improved performance over PubMed and Google Scholar.

Information retrieval in an infodemic: the case of COVID-19 publications

The paper presents an information retrieval methodology for finding relevant COVID-19 publications in an infodemic, achieving competitive results in the TREC-COVID challenge.

An interactive retrieval system for clinical trial studies with context-dependent protocol elements

The paper introduces an interactive retrieval system for clinical trial protocols that improves search by using context-dependent protocol element selection.