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Artifact Sharing for Information Retrieval Research

bibtex demonstration paper to appear

Authors: Sean MacAvaney

Appearing in: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)

Links/IDs:
Google Scholar 7wWfoDgAAAAJ:uWQEDVKXjbEC Enlighten 352742 smac.pub sigir2025-artifact

Abstract:

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.

BibTeX @inproceedings{macavaney:sigir2025-artifact, author = {MacAvaney, Sean}, title = {Artifact Sharing for Information Retrieval Research}, booktitle = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval}, year = {2025} }