Applying Large Language Models to Interactive Information Retrieval: A Practical Exploration

This half-day interactive tutorial provides researchers with practical skills to use large language models (LLMs) for interactive information retrieval research.Through hands-on exercises and real-world research examples, participants will learn to set up LLMs locally, integrate them via APIs, and evaluate their outputs.The tutorial will explain which models suit specific research needs, offering participants a robust toolkit to enhance their work.Attendees will also gain insights into the latest developments in the field, ensuring they stay at the forefront of innovation.Ideal for researchers eager to explore new methodologies in information retrieval, this tutorial offers foundational knowledge and cutting-edge strategies to use LLMs in interactive information retrieval research.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1145/3698204.3716478
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
2.48

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article

Applying Large Language Models to Interactive Information Retrieval: A Practical Exploration

Adam Roegiest, Oleg Zendel, Johanne R. Trippas
1 citations
Natural Language Processing Techniques
2.48
article

Applying Large Language Models to Interactive Information Retrieval: A Practical Exploration

Adam Roegiest, Oleg Zendel, Johanne R. Trippas
article en
1 citations

Abstract

This half-day interactive tutorial provides researchers with practical skills to use large language models (LLMs) for interactive information retrieval research.Through hands-on exercises and real-world research examples, participants will learn to set up LLMs locally, integrate them via APIs, and evaluate their outputs.The tutorial will explain which models suit specific research needs, offering participants a robust toolkit to enhance their work.Attendees will also gain insights into the latest developments in the field, ensuring they stay at the forefront of innovation.Ideal for researchers eager to explore new methodologies in information retrieval, this tutorial offers foundational knowledge and cutting-edge strategies to use LLMs in interactive information retrieval research.

RMIT University (AU)
Australian Research Council
Quality Education
Openalex Percentile: Top 11%
Natural Language Processing Techniques
2.48
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Applying Large Language Models to Interactive Information Retrieval: A Practical Exploration — Adam Roegiest, Oleg Zendel, et al. · (2025) | TGRS Research Map | TGRS