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.
Authors
- Adam Roegiest (ORCID: https://orcid.org/0000-0003-1265-8881)
- Oleg Zendel (ORCID: https://orcid.org/0000-0003-1535-0989)
- Johanne R. Trippas (ORCID: https://orcid.org/0000-0002-7801-0239)
Institutions
- RMIT University (AU)
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
Funders
- Australian Research Council