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Resources for Brewing BEIR - Reproducible Reference Models and Statistical Analyses

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Information Retrieval Courses Data Science Courses Machine Learning Courses Statistical Analysis Courses Benchmarking Courses

Course Description

Overview

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Explore a concise 11-minute conference talk from the Association for Computing Machinery (ACM) focused on Neural Information Retrieval (IR). Delve into the topic of "Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses" presented by authors Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, and Jimmy Lin. Gain insights into the latest developments in reproducible reference models and statistical analyses within the context of the BEIR (Benchmarking IR) framework, essential for researchers and practitioners in the field of information retrieval and machine learning.

Syllabus

SIGIR 2024 T2.3 [rr] Resources for Brewing BEIR:Reproducible Reference Models & Statistical Analyses


Taught by

Association for Computing Machinery (ACM)

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