@inproceedings{gokhan-etal-2025-shared,
title = "Shared Task {RIRAG}-2025: Regulatory Information Retrieval and Answer Generation",
author = "Gokhan, Tuba and
Wang, Kexin and
Gurevych, Iryna and
Briscoe, Ted",
editor = "Gokhan, Tuba and
Wang, Kexin and
Gurevych, Iryna and
Briscoe, Ted",
booktitle = "Proceedings of the 1st Regulatory NLP Workshop (RegNLP 2025)",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2025.regnlp-1.1/",
pages = "1--4",
abstract = "This paper provides an overview of the Shared Task RIRAG-2025, which focused on advancing the field of Regulatory Information Retrieval and Answer Generation (RIRAG). The task was designed to evaluate methods for answering regulatory questions using the ObliQA dataset. This paper summarizes the shared task, participants' methods, and the results achieved by various teams."
}
Markdown (Informal)
[Shared Task RIRAG-2025: Regulatory Information Retrieval and Answer Generation](https://preview.aclanthology.org/Add-Cong-Liu-Florida-Atlantic-University-author-id/2025.regnlp-1.1/) (Gokhan et al., RegNLP 2025)
ACL