Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors.
Maik Fröbe|Andrew Parry|Ferdinand Schlatt|Sean MacAvaney|Benno Stein|Martin Potthast|Matthias Hagen
| Anthology ID: | DBLP:conf/sigir/FrobePSM0PH25 |
|---|---|
| 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: | 2858-2863 |
| URL: | https://doi.org/10.1145/3726302.3730218 |
| DOI: | https://doi.org/10.1145/3726302.3730218 |
| DBLP: | conf/sigir/FrobePSM0PH25 |
| BibTeX: |
@inproceedings{frobe-2025-large,
author = {Maik Fr\"{o}be and
Andrew Parry and
Ferdinand Schlatt and
Sean MacAvaney and
Benno Stein and
Martin Potthast and
Matthias Hagen},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Large Language Model Relevance Assessors Agree With One Another More Than With Human Assessors}},
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 = {2858--2863},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3730218},
doi = {https://doi.org/10.1145/3726302.3730218}
}