Applying Large Language Models to Interactive Information Retrieval: A Practical Exploration
Year: 2025
Type: conference-paper
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.
Authors: Johanne R Trippas, Oleg Zendel, Adam Roegiest
Institution: RMIT University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Australian Research Council
OpenAlex ID: W4409973665
