ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning

Vy Vo, Lizhen Qu, Tao Feng, Yuncheng Hua, Xiaoxi Kang, Songhai Fan, Tim Dwyer, Lay-Ki Soon, Gholamreza Haffari


Anthology ID:
2025.naacl-long.49
Volume:
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Month:
April
Year:
2025
Address:
Albuquerque, New Mexico
Editors:
Luis Chiruzzo, Alan Ritter, Lu Wang
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1049–1074
Language:
URL:
https://preview.aclanthology.org/landing_page/2025.naacl-long.49/
DOI:
Bibkey:
Cite (ACL):
Vy Vo, Lizhen Qu, Tao Feng, Yuncheng Hua, Xiaoxi Kang, Songhai Fan, Tim Dwyer, Lay-Ki Soon, and Gholamreza Haffari. 2025. ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 1049–1074, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning (Vo et al., NAACL 2025)
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PDF:
https://preview.aclanthology.org/landing_page/2025.naacl-long.49.pdf