Tutorials

Elastic4IR
Tutorial and resources for using Elastic for information retrieval experiments. The tutorial was designed for the SIGIR 2017 Lucene for Information Access and Retrieval Research (LIARR).
Health Search Tutorial
Tutorials and resources on health information retrieval problems, methods and resources, covering aspects from clinicians to consumers.
IR in Practice
Material about using Elasticsearch for information retrieval experiments, presented at the 2019 ACM SIGIR/SIGKDD Africa Summer School on Machine Learning for Data Mining and Search.
Retrieval and Ranking with LLMs
Generative Large Language Models (LLMs) like GPT, Gemini, and Llama are transforming Information Retrieval, enabling new and more effective approaches to document retrieval and ranking. The switch from the previous generation pre-trained language models backbones (e.g., BERT, T5) to the new generative LLMs backbones has required the field to adapt training processes; it also has provided unprecedented capabilities and opportunities, stimulating research into zero-shot approaches, reasoning approaches, reinforcement learning based training, and multilingual and multimodal applications. This tutorial will provide a structured overview of LLM-based retrievers and rankers, covering fundamental architectures, training paradigms, real-world deployment considerations, and open challenges and research directions.
ACM CHIIR UMMMS 2021