Generate-Distill: Training Cross-Language IR Models with Synthetically-Generated Data.
Dawn J. Lawrie|Efsun Selin Kayi|Eugene Yang|James Mayfield|Douglas W. Oard|Scott Miller
| Anthology ID: | DBLP:conf/sigir/LawrieKYMOM25 |
|---|---|
| Volume: | Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025 |
| Year: | 2025 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2926-2930 |
| URL: | https://doi.org/10.1145/3726302.3730201 |
| DOI: | https://doi.org/10.1145/3726302.3730201 |
| DBLP: | conf/sigir/LawrieKYMOM25 |
| BibTeX: |
@inproceedings{lawrie-2025-generatedistill,
author = {Dawn J. Lawrie and
Efsun Selin Kayi and
Eugene Yang and
James Mayfield and
Douglas W. Oard and
Scott Miller},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Generate-Distill: Training Cross-Language IR Models with Synthetically-Generated Data}},
booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}},
pages = {2926--2930},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730201},
doi = {https://doi.org/10.1145/3726302.3730201}
}