Artifact Sharing for Information Retrieval Research

Fuente: arXiv
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Autor principal: MacAvaney, Sean
Formato: Preprint
Publicado: 2025
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author MacAvaney, Sean
author_facet MacAvaney, Sean
contents Sharing artifacts -- such as trained models, pre-built indexes, and the code to use them -- aids in reproducibility efforts by allowing researchers to validate intermediate steps and improves the sustainability of research by allowing multiple groups to build off one another's prior computational work. Although there are de facto consensuses on how to share research code (through a git repository linked to from publications) and trained models (via HuggingFace Hub), there is no consensus for other types of artifacts, such as built indexes. Given the practical utility of using shared indexes, researchers have resorted to self-hosting these resources or performing ad hoc file transfers upon request, ultimately limiting the artifacts' discoverability and reuse. This demonstration introduces a flexible and interoperable way to share artifacts for Information Retrieval research, improving both their accessibility and usability.
format Preprint
id arxiv_https___arxiv_org_abs_2505_05434
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Artifact Sharing for Information Retrieval Research
MacAvaney, Sean
Information Retrieval
Sharing artifacts -- such as trained models, pre-built indexes, and the code to use them -- aids in reproducibility efforts by allowing researchers to validate intermediate steps and improves the sustainability of research by allowing multiple groups to build off one another's prior computational work. Although there are de facto consensuses on how to share research code (through a git repository linked to from publications) and trained models (via HuggingFace Hub), there is no consensus for other types of artifacts, such as built indexes. Given the practical utility of using shared indexes, researchers have resorted to self-hosting these resources or performing ad hoc file transfers upon request, ultimately limiting the artifacts' discoverability and reuse. This demonstration introduces a flexible and interoperable way to share artifacts for Information Retrieval research, improving both their accessibility and usability.
title Artifact Sharing for Information Retrieval Research
topic Information Retrieval
url https://arxiv.org/abs/2505.05434