Towards Quantifying Commonsense Reasoning with Mechanistic Insights

Abhinav Joshi, Areeb Ahmad, Divyaksh Shukla, Ashutosh Modi


Anthology ID:
2025.naacl-long.487
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:
9633–9660
Language:
URL:
https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.naacl-long.487/
DOI:
Bibkey:
Cite (ACL):
Abhinav Joshi, Areeb Ahmad, Divyaksh Shukla, and Ashutosh Modi. 2025. Towards Quantifying Commonsense Reasoning with Mechanistic Insights. 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 9633–9660, Albuquerque, New Mexico. Association for Computational Linguistics.
Cite (Informal):
Towards Quantifying Commonsense Reasoning with Mechanistic Insights (Joshi et al., NAACL 2025)
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PDF:
https://preview.aclanthology.org/Ingest-2025-COMPUTEL/2025.naacl-long.487.pdf